Overview

Dataset statistics

Number of variables200
Number of observations46
Missing cells0
Missing cells (%)0.0%
Total size in memory72.0 KiB
Average record size in memory1.6 KiB

Variable types

Numeric190
Categorical10

Alerts

NU_ANO_CENSO has constant value ""Constant
NO_REGIAO has constant value ""Constant
CO_REGIAO has constant value ""Constant
NO_UF has constant value ""Constant
SG_UF has constant value ""Constant
CO_UF has constant value ""Constant
TP_DIMENSAO has constant value ""Constant
TP_ORGANIZACAO_ACADEMICA has constant value ""Constant
TP_CATEGORIA_ADMINISTRATIVA has constant value ""Constant
TP_REDE has constant value ""Constant
CO_IES has constant value ""Constant
IN_GRATUITO has constant value ""Constant
TP_MODALIDADE_ENSINO has constant value ""Constant
TP_NIVEL_ACADEMICO has constant value ""Constant
QT_CURSO has constant value ""Constant
QT_VG_TOTAL_EAD has constant value ""Constant
QT_VG_PROC_SELETIVO has constant value ""Constant
QT_VG_PROG_ESPECIAL has constant value ""Constant
QT_INSCRITO_TOTAL_EAD has constant value ""Constant
QT_INSC_PROC_SELETIVO has constant value ""Constant
QT_INSC_VG_PROG_ESPECIAL has constant value ""Constant
QT_ING_AVALIACAO_SERIADA has constant value ""Constant
QT_ING_SELECAO_SIMPLIFICA has constant value ""Constant
QT_ING_EGR has constant value ""Constant
QT_ING_OUTRO_TIPO_SELECAO has constant value ""Constant
QT_ING_PROC_SELETIVO has constant value ""Constant
QT_ING_VG_PROG_ESPECIAL has constant value ""Constant
QT_CONC_0_17 has constant value ""Constant
QT_ING_NACESTRANG has constant value ""Constant
QT_CONC_NACESTRANG has constant value ""Constant
QT_ING_FINANC has constant value ""Constant
QT_ING_FINANC_REEMB has constant value ""Constant
QT_ING_FIES has constant value ""Constant
QT_ING_RPFIES has constant value ""Constant
QT_ING_FINANC_REEMB_OUTROS has constant value ""Constant
QT_ING_FINANC_NREEMB has constant value ""Constant
QT_ING_PROUNII has constant value ""Constant
QT_ING_PROUNIP has constant value ""Constant
QT_ING_NRPFIES has constant value ""Constant
QT_ING_FINANC_NREEMB_OUTROS has constant value ""Constant
QT_MAT_FINANC has constant value ""Constant
QT_MAT_FINANC_REEMB has constant value ""Constant
QT_MAT_FIES has constant value ""Constant
QT_MAT_RPFIES has constant value ""Constant
QT_MAT_FINANC_REEMB_OUTROS has constant value ""Constant
QT_MAT_FINANC_NREEMB has constant value ""Constant
QT_MAT_PROUNII has constant value ""Constant
QT_MAT_PROUNIP has constant value ""Constant
QT_MAT_NRPFIES has constant value ""Constant
QT_MAT_FINANC_NREEMB_OUTROS has constant value ""Constant
QT_CONC_FINANC has constant value ""Constant
QT_CONC_FINANC_REEMB has constant value ""Constant
QT_CONC_FIES has constant value ""Constant
QT_CONC_RPFIES has constant value ""Constant
QT_CONC_FINANC_REEMB_OUTROS has constant value ""Constant
QT_CONC_FINANC_NREEMB has constant value ""Constant
QT_CONC_PROUNII has constant value ""Constant
QT_CONC_PROUNIP has constant value ""Constant
QT_CONC_NRPFIES has constant value ""Constant
QT_CONC_FINANC_NREEMB_OUTROS has constant value ""Constant
QT_ING_RVPDEF has constant value ""Constant
QT_MAT_RVPDEF has constant value ""Constant
QT_CONC_RVPDEF has constant value ""Constant
QT_SIT_TRANSFERIDO has constant value ""Constant
QT_SIT_FALECIDO has constant value ""Constant
QT_ING_PROCNAOINFORMADA has constant value ""Constant
QT_PARFOR has constant value ""Constant
QT_ING_PARFOR has constant value ""Constant
QT_MAT_PARFOR has constant value ""Constant
QT_CONC_PARFOR has constant value ""Constant
QT_ING_MOB_ACADEMICA has constant value ""Constant
CO_CURSO has unique valuesUnique
IN_CAPITAL has 18 (39.1%) zerosZeros
QT_VG_TOTAL has 2 (4.3%) zerosZeros
QT_VG_TOTAL_DIURNO has 11 (23.9%) zerosZeros
QT_VG_TOTAL_NOTURNO has 31 (67.4%) zerosZeros
QT_VG_TOTAL_EAD has 46 (100.0%) zerosZeros
QT_VG_NOVA has 2 (4.3%) zerosZeros
QT_VG_PROC_SELETIVO has 46 (100.0%) zerosZeros
QT_VG_REMANESC has 10 (21.7%) zerosZeros
QT_VG_PROG_ESPECIAL has 46 (100.0%) zerosZeros
QT_INSCRITO_TOTAL has 2 (4.3%) zerosZeros
QT_INSCRITO_TOTAL_DIURNO has 11 (23.9%) zerosZeros
QT_INSCRITO_TOTAL_NOTURNO has 31 (67.4%) zerosZeros
QT_INSCRITO_TOTAL_EAD has 46 (100.0%) zerosZeros
QT_INSC_VG_NOVA has 2 (4.3%) zerosZeros
QT_INSC_PROC_SELETIVO has 46 (100.0%) zerosZeros
QT_INSC_VG_REMANESC has 14 (30.4%) zerosZeros
QT_INSC_VG_PROG_ESPECIAL has 46 (100.0%) zerosZeros
QT_ING has 2 (4.3%) zerosZeros
QT_ING_FEM has 2 (4.3%) zerosZeros
QT_ING_MASC has 2 (4.3%) zerosZeros
QT_ING_DIURNO has 11 (23.9%) zerosZeros
QT_ING_NOTURNO has 31 (67.4%) zerosZeros
QT_ING_VG_NOVA has 2 (4.3%) zerosZeros
QT_ING_VESTIBULAR has 35 (76.1%) zerosZeros
QT_ING_ENEM has 3 (6.5%) zerosZeros
QT_ING_AVALIACAO_SERIADA has 46 (100.0%) zerosZeros
QT_ING_SELECAO_SIMPLIFICA has 46 (100.0%) zerosZeros
QT_ING_EGR has 46 (100.0%) zerosZeros
QT_ING_OUTRO_TIPO_SELECAO has 46 (100.0%) zerosZeros
QT_ING_PROC_SELETIVO has 46 (100.0%) zerosZeros
QT_ING_VG_REMANESC has 22 (47.8%) zerosZeros
QT_ING_VG_PROG_ESPECIAL has 46 (100.0%) zerosZeros
QT_ING_OUTRA_FORMA has 29 (63.0%) zerosZeros
QT_ING_0_17 has 9 (19.6%) zerosZeros
QT_ING_18_24 has 2 (4.3%) zerosZeros
QT_ING_25_29 has 3 (6.5%) zerosZeros
QT_ING_30_34 has 4 (8.7%) zerosZeros
QT_ING_35_39 has 8 (17.4%) zerosZeros
QT_ING_40_49 has 10 (21.7%) zerosZeros
QT_ING_50_59 has 23 (50.0%) zerosZeros
QT_ING_60_MAIS has 39 (84.8%) zerosZeros
QT_ING_BRANCA has 2 (4.3%) zerosZeros
QT_ING_PRETA has 2 (4.3%) zerosZeros
QT_ING_PARDA has 2 (4.3%) zerosZeros
QT_ING_AMARELA has 21 (45.7%) zerosZeros
QT_ING_INDIGENA has 37 (80.4%) zerosZeros
QT_ING_CORND has 17 (37.0%) zerosZeros
QT_MAT_FEM has 1 (2.2%) zerosZeros
QT_MAT_DIURNO has 10 (21.7%) zerosZeros
QT_MAT_NOTURNO has 30 (65.2%) zerosZeros
QT_MAT_0_17 has 9 (19.6%) zerosZeros
QT_MAT_18_24 has 1 (2.2%) zerosZeros
QT_MAT_25_29 has 1 (2.2%) zerosZeros
QT_MAT_30_34 has 1 (2.2%) zerosZeros
QT_MAT_35_39 has 2 (4.3%) zerosZeros
QT_MAT_40_49 has 4 (8.7%) zerosZeros
QT_MAT_50_59 has 9 (19.6%) zerosZeros
QT_MAT_60_MAIS has 27 (58.7%) zerosZeros
QT_MAT_BRANCA has 1 (2.2%) zerosZeros
QT_MAT_PRETA has 1 (2.2%) zerosZeros
QT_MAT_AMARELA has 6 (13.0%) zerosZeros
QT_MAT_INDIGENA has 23 (50.0%) zerosZeros
QT_MAT_CORND has 4 (8.7%) zerosZeros
QT_CONC has 9 (19.6%) zerosZeros
QT_CONC_FEM has 12 (26.1%) zerosZeros
QT_CONC_MASC has 12 (26.1%) zerosZeros
QT_CONC_DIURNO has 18 (39.1%) zerosZeros
QT_CONC_NOTURNO has 31 (67.4%) zerosZeros
QT_CONC_0_17 has 46 (100.0%) zerosZeros
QT_CONC_18_24 has 12 (26.1%) zerosZeros
QT_CONC_25_29 has 13 (28.3%) zerosZeros
QT_CONC_30_34 has 24 (52.2%) zerosZeros
QT_CONC_35_39 has 37 (80.4%) zerosZeros
QT_CONC_40_49 has 36 (78.3%) zerosZeros
QT_CONC_50_59 has 39 (84.8%) zerosZeros
QT_CONC_60_MAIS has 45 (97.8%) zerosZeros
QT_CONC_BRANCA has 13 (28.3%) zerosZeros
QT_CONC_PRETA has 18 (39.1%) zerosZeros
QT_CONC_PARDA has 11 (23.9%) zerosZeros
QT_CONC_AMARELA has 39 (84.8%) zerosZeros
QT_CONC_INDIGENA has 43 (93.5%) zerosZeros
QT_CONC_CORND has 44 (95.7%) zerosZeros
QT_ING_NACBRAS has 2 (4.3%) zerosZeros
QT_ING_NACESTRANG has 46 (100.0%) zerosZeros
QT_MAT_NACESTRANG has 42 (91.3%) zerosZeros
QT_CONC_NACBRAS has 9 (19.6%) zerosZeros
QT_CONC_NACESTRANG has 46 (100.0%) zerosZeros
QT_ALUNO_DEFICIENTE has 8 (17.4%) zerosZeros
QT_ING_DEFICIENTE has 22 (47.8%) zerosZeros
QT_MAT_DEFICIENTE has 10 (21.7%) zerosZeros
QT_CONC_DEFICIENTE has 45 (97.8%) zerosZeros
QT_ING_FINANC has 46 (100.0%) zerosZeros
QT_ING_FINANC_REEMB has 46 (100.0%) zerosZeros
QT_ING_FIES has 46 (100.0%) zerosZeros
QT_ING_RPFIES has 46 (100.0%) zerosZeros
QT_ING_FINANC_REEMB_OUTROS has 46 (100.0%) zerosZeros
QT_ING_FINANC_NREEMB has 46 (100.0%) zerosZeros
QT_ING_PROUNII has 46 (100.0%) zerosZeros
QT_ING_PROUNIP has 46 (100.0%) zerosZeros
QT_ING_NRPFIES has 46 (100.0%) zerosZeros
QT_ING_FINANC_NREEMB_OUTROS has 46 (100.0%) zerosZeros
QT_MAT_FINANC has 46 (100.0%) zerosZeros
QT_MAT_FINANC_REEMB has 46 (100.0%) zerosZeros
QT_MAT_FIES has 46 (100.0%) zerosZeros
QT_MAT_RPFIES has 46 (100.0%) zerosZeros
QT_MAT_FINANC_REEMB_OUTROS has 46 (100.0%) zerosZeros
QT_MAT_FINANC_NREEMB has 46 (100.0%) zerosZeros
QT_MAT_PROUNII has 46 (100.0%) zerosZeros
QT_MAT_PROUNIP has 46 (100.0%) zerosZeros
QT_MAT_NRPFIES has 46 (100.0%) zerosZeros
QT_MAT_FINANC_NREEMB_OUTROS has 46 (100.0%) zerosZeros
QT_CONC_FINANC has 46 (100.0%) zerosZeros
QT_CONC_FINANC_REEMB has 46 (100.0%) zerosZeros
QT_CONC_FIES has 46 (100.0%) zerosZeros
QT_CONC_RPFIES has 46 (100.0%) zerosZeros
QT_CONC_FINANC_REEMB_OUTROS has 46 (100.0%) zerosZeros
QT_CONC_FINANC_NREEMB has 46 (100.0%) zerosZeros
QT_CONC_PROUNII has 46 (100.0%) zerosZeros
QT_CONC_PROUNIP has 46 (100.0%) zerosZeros
QT_CONC_NRPFIES has 46 (100.0%) zerosZeros
QT_CONC_FINANC_NREEMB_OUTROS has 46 (100.0%) zerosZeros
QT_ING_RESERVA_VAGA has 5 (10.9%) zerosZeros
QT_ING_RVREDEPUBLICA has 9 (19.6%) zerosZeros
QT_ING_RVETNICO has 11 (23.9%) zerosZeros
QT_ING_RVPDEF has 46 (100.0%) zerosZeros
QT_ING_RVSOCIAL_RF has 15 (32.6%) zerosZeros
QT_ING_RVOUTROS has 12 (26.1%) zerosZeros
QT_MAT_RESERVA_VAGA has 2 (4.3%) zerosZeros
QT_MAT_RVREDEPUBLICA has 3 (6.5%) zerosZeros
QT_MAT_RVETNICO has 4 (8.7%) zerosZeros
QT_MAT_RVPDEF has 46 (100.0%) zerosZeros
QT_MAT_RVSOCIAL_RF has 6 (13.0%) zerosZeros
QT_MAT_RVOUTROS has 5 (10.9%) zerosZeros
QT_CONC_RESERVA_VAGA has 43 (93.5%) zerosZeros
QT_CONC_RVREDEPUBLICA has 44 (95.7%) zerosZeros
QT_CONC_RVETNICO has 44 (95.7%) zerosZeros
QT_CONC_RVPDEF has 46 (100.0%) zerosZeros
QT_CONC_RVSOCIAL_RF has 45 (97.8%) zerosZeros
QT_CONC_RVOUTROS has 44 (95.7%) zerosZeros
QT_SIT_TRANCADA has 8 (17.4%) zerosZeros
QT_SIT_DESVINCULADO has 2 (4.3%) zerosZeros
QT_SIT_TRANSFERIDO has 46 (100.0%) zerosZeros
QT_SIT_FALECIDO has 46 (100.0%) zerosZeros
QT_ING_PROCESCPUBLICA has 2 (4.3%) zerosZeros
QT_ING_PROCESCPRIVADA has 2 (4.3%) zerosZeros
QT_ING_PROCNAOINFORMADA has 46 (100.0%) zerosZeros
QT_MAT_PROCESCPUBLICA has 2 (4.3%) zerosZeros
QT_MAT_PROCNAOINFORMADA has 42 (91.3%) zerosZeros
QT_CONC_PROCESCPUBLICA has 24 (52.2%) zerosZeros
QT_CONC_PROCESCPRIVADA has 10 (21.7%) zerosZeros
QT_CONC_PROCNAOINFORMADA has 45 (97.8%) zerosZeros
QT_PARFOR has 46 (100.0%) zerosZeros
QT_ING_PARFOR has 46 (100.0%) zerosZeros
QT_MAT_PARFOR has 46 (100.0%) zerosZeros
QT_CONC_PARFOR has 46 (100.0%) zerosZeros
QT_APOIO_SOCIAL has 7 (15.2%) zerosZeros
QT_ING_APOIO_SOCIAL has 44 (95.7%) zerosZeros
QT_MAT_APOIO_SOCIAL has 7 (15.2%) zerosZeros
QT_CONC_APOIO_SOCIAL has 25 (54.3%) zerosZeros
QT_ATIV_EXTRACURRICULAR has 4 (8.7%) zerosZeros
QT_ING_ATIV_EXTRACURRICULAR has 45 (97.8%) zerosZeros
QT_MAT_ATIV_EXTRACURRICULAR has 4 (8.7%) zerosZeros
QT_CONC_ATIV_EXTRACURRICULAR has 29 (63.0%) zerosZeros
QT_MOB_ACADEMICA has 44 (95.7%) zerosZeros
QT_ING_MOB_ACADEMICA has 46 (100.0%) zerosZeros
QT_MAT_MOB_ACADEMICA has 44 (95.7%) zerosZeros
QT_CONC_MOB_ACADEMICA has 45 (97.8%) zerosZeros

Reproduction

Analysis started2023-09-16 11:10:45.750352
Analysis finished2023-09-16 11:10:47.799185
Duration2.05 seconds
Software versionydata-profiling vv4.1.2
Download configurationconfig.json

Variables

NU_ANO_CENSO
Real number (ℝ)

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2021
Minimum2021
Maximum2021
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:10:48.387198image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum2021
5-th percentile2021
Q12021
median2021
Q32021
95-th percentile2021
Maximum2021
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean2021
Median Absolute Deviation (MAD)0
Skewness0
Sum92966
Variance0
MonotonicityIncreasing
2023-09-16T08:10:48.591005image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
2021 46
100.0%
ValueCountFrequency (%)
2021 46
100.0%
ValueCountFrequency (%)
2021 46
100.0%

NO_REGIAO
Categorical

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size496.0 B
Nordeste
46 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNordeste
2nd rowNordeste
3rd rowNordeste
4th rowNordeste
5th rowNordeste

Common Values

ValueCountFrequency (%)
Nordeste 46
100.0%

Common Values (Plot)

2023-09-16T08:10:48.794345image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

CO_REGIAO
Real number (ℝ)

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2
Minimum2
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:10:48.947695image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q12
median2
Q32
95-th percentile2
Maximum2
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean2
Median Absolute Deviation (MAD)0
Skewness0
Sum92
Variance0
MonotonicityIncreasing
2023-09-16T08:10:49.118644image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
2 46
100.0%
ValueCountFrequency (%)
2 46
100.0%
ValueCountFrequency (%)
2 46
100.0%

NO_UF
Categorical

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size496.0 B
Pernambuco
46 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowPernambuco
2nd rowPernambuco
3rd rowPernambuco
4th rowPernambuco
5th rowPernambuco

Common Values

ValueCountFrequency (%)
Pernambuco 46
100.0%

Common Values (Plot)

2023-09-16T08:10:49.378805image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

SG_UF
Categorical

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size496.0 B
PE
46 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowPE
2nd rowPE
3rd rowPE
4th rowPE
5th rowPE

Common Values

ValueCountFrequency (%)
PE 46
100.0%

Common Values (Plot)

2023-09-16T08:10:49.527231image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

CO_UF
Real number (ℝ)

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26
Minimum26
Maximum26
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:10:49.640567image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum26
5-th percentile26
Q126
median26
Q326
95-th percentile26
Maximum26
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean26
Median Absolute Deviation (MAD)0
Skewness0
Sum1196
Variance0
MonotonicityIncreasing
2023-09-16T08:10:49.823014image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
26 46
100.0%
ValueCountFrequency (%)
26 46
100.0%
ValueCountFrequency (%)
26 46
100.0%

NO_MUNICIPIO
Categorical

Distinct4
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size496.0 B
Recife
28 
Serra Talhada
Cabo de Santo Agostinho
Belo Jardim

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowBelo Jardim
2nd rowBelo Jardim
3rd rowBelo Jardim
4th rowBelo Jardim
5th rowCabo de Santo Agostinho

Common Values

ValueCountFrequency (%)
Recife 28
60.9%
Serra Talhada 9
 
19.6%
Cabo de Santo Agostinho 5
 
10.9%
Belo Jardim 4
 
8.7%

Common Values (Plot)

2023-09-16T08:10:50.085818image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

CO_MUNICIPIO
Real number (ℝ)

Distinct4
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2610249.63
Minimum2601706
Maximum2613909
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:10:50.286011image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum2601706
5-th percentile2601706
Q12611606
median2611606
Q32611606
95-th percentile2613909
Maximum2613909
Range12203
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4038.54868
Coefficient of variation (CV)0.00154718868
Kurtosis0.3778540878
Mean2610249.63
Median Absolute Deviation (MAD)0
Skewness-1.399209774
Sum120071483
Variance16309875.44
MonotonicityIncreasing
2023-09-16T08:10:50.523981image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2611606 28
60.9%
2613909 9
 
19.6%
2602902 5
 
10.9%
2601706 4
 
8.7%
ValueCountFrequency (%)
2601706 4
 
8.7%
2602902 5
 
10.9%
2611606 28
60.9%
2613909 9
 
19.6%
ValueCountFrequency (%)
2613909 9
 
19.6%
2611606 28
60.9%
2602902 5
 
10.9%
2601706 4
 
8.7%

IN_CAPITAL
Real number (ℝ)

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6086956522
Minimum0
Maximum1
Zeros18
Zeros (%)39.1%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:10:50.727332image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4934351638
Coefficient of variation (CV)0.8106434834
Kurtosis-1.871224706
Mean0.6086956522
Median Absolute Deviation (MAD)0
Skewness-0.4605928883
Sum28
Variance0.2434782609
MonotonicityNot monotonic
2023-09-16T08:10:50.914893image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 28
60.9%
0 18
39.1%
ValueCountFrequency (%)
0 18
39.1%
1 28
60.9%
ValueCountFrequency (%)
1 28
60.9%
0 18
39.1%

TP_DIMENSAO
Real number (ℝ)

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:10:51.151240image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum46
Variance0
MonotonicityIncreasing
2023-09-16T08:10:51.326662image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1 46
100.0%
ValueCountFrequency (%)
1 46
100.0%
ValueCountFrequency (%)
1 46
100.0%

TP_ORGANIZACAO_ACADEMICA
Real number (ℝ)

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:10:51.514404image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum46
Variance0
MonotonicityIncreasing
2023-09-16T08:10:51.740218image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1 46
100.0%
ValueCountFrequency (%)
1 46
100.0%
ValueCountFrequency (%)
1 46
100.0%
Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:10:51.910207image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum46
Variance0
MonotonicityIncreasing
2023-09-16T08:10:52.062635image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1 46
100.0%
ValueCountFrequency (%)
1 46
100.0%
ValueCountFrequency (%)
1 46
100.0%

TP_REDE
Real number (ℝ)

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:10:52.299065image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum46
Variance0
MonotonicityIncreasing
2023-09-16T08:10:52.460050image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1 46
100.0%
ValueCountFrequency (%)
1 46
100.0%
ValueCountFrequency (%)
1 46
100.0%

CO_IES
Real number (ℝ)

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean587
Minimum587
Maximum587
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:10:52.648046image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum587
5-th percentile587
Q1587
median587
Q3587
95-th percentile587
Maximum587
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean587
Median Absolute Deviation (MAD)0
Skewness0
Sum27002
Variance0
MonotonicityIncreasing
2023-09-16T08:10:52.804834image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
587 46
100.0%
ValueCountFrequency (%)
587 46
100.0%
ValueCountFrequency (%)
587 46
100.0%

NO_CURSO
Categorical

Distinct37
Distinct (%)80.4%
Missing0
Missing (%)0.0%
Memory size496.0 B
Ciências Biológicas
 
3
Zootecnia
 
2
Sistema De Informação
 
2
Química
 
2
Ciências Econômicas
 
2
Other values (32)
35 

Unique

Unique29 ?
Unique (%)63.0%

Sample

1st rowEngenharia De Computação
2nd rowEngenharia De Controle E Automação
3rd rowEngenharia Hídrica
4th rowEngenharia Química
5th rowEngenharia Civil

Common Values

ValueCountFrequency (%)
Ciências Biológicas 3
 
6.5%
Zootecnia 2
 
4.3%
Sistema De Informação 2
 
4.3%
Química 2
 
4.3%
Ciências Econômicas 2
 
4.3%
Engenharia De Pesca 2
 
4.3%
Administração 2
 
4.3%
Agronomia 2
 
4.3%
Engenharia De Computação 1
 
2.2%
Física 1
 
2.2%
Other values (27) 27
58.7%

CO_CURSO
Real number (ℝ)

Distinct46
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean486701.3478
Minimum14500
Maximum1557116
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:10:53.031816image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum14500
5-th percentile14503.25
Q114513.25
median101835
Q31270379.75
95-th percentile1516691.5
Maximum1557116
Range1542616
Interquartile range (IQR)1255866.5

Descriptive statistics

Standard deviation624734.2725
Coefficient of variation (CV)1.283609086
Kurtosis-1.29691199
Mean486701.3478
Median Absolute Deviation (MAD)87326
Skewness0.814796556
Sum22388262
Variance3.902929112 × 1011
MonotonicityNot monotonic
2023-09-16T08:10:53.321831image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
1516690 1
 
2.2%
14511 1
 
2.2%
14504 1
 
2.2%
14503 1
 
2.2%
14510 1
 
2.2%
92075 1
 
2.2%
14514 1
 
2.2%
118382 1
 
2.2%
14505 1
 
2.2%
14507 1
 
2.2%
Other values (36) 36
78.3%
ValueCountFrequency (%)
14500 1
2.2%
14502 1
2.2%
14503 1
2.2%
14504 1
2.2%
14505 1
2.2%
ValueCountFrequency (%)
1557116 1
2.2%
1516693 1
2.2%
1516692 1
2.2%
1516690 1
2.2%
1516689 1
2.2%

NO_CINE_ROTULO
Categorical

Distinct38
Distinct (%)82.6%
Missing0
Missing (%)0.0%
Memory size496.0 B
Zootecnia
 
2
Sistemas de informação
 
2
Química formação de professor
 
2
Economia
 
2
Engenharia de pesca
 
2
Other values (33)
36 

Unique

Unique30 ?
Unique (%)65.2%

Sample

1st rowEngenharia de computação (DCN Engenharia)
2nd rowEngenharia de controle e automação
3rd rowEngenharia de recursos hídricos
4th rowEngenharia química
5th rowEngenharia civil

Common Values

ValueCountFrequency (%)
Zootecnia 2
 
4.3%
Sistemas de informação 2
 
4.3%
Química formação de professor 2
 
4.3%
Economia 2
 
4.3%
Engenharia de pesca 2
 
4.3%
Administração 2
 
4.3%
Biologia 2
 
4.3%
Agronomia 2
 
4.3%
Engenharia de computação (DCN Engenharia) 1
 
2.2%
Física formação de professor 1
 
2.2%
Other values (28) 28
60.9%

CO_CINE_ROTULO
Categorical

Distinct38
Distinct (%)82.6%
Missing0
Missing (%)0.0%
Memory size496.0 B
"0811Z01"
 
2
"0615S02"
 
2
"0114Q01"
 
2
"0311E01"
 
2
"0831E01"
 
2
Other values (33)
36 

Unique

Unique30 ?
Unique (%)65.2%

Sample

1st row"0714E04"
2nd row"0714E05"
3rd row"0732E02"
4th row"0711E05"
5th row"0732E01"

Common Values

ValueCountFrequency (%)
"0811Z01" 2
 
4.3%
"0615S02" 2
 
4.3%
"0114Q01" 2
 
4.3%
"0311E01" 2
 
4.3%
"0831E01" 2
 
4.3%
"0413A01" 2
 
4.3%
"0511B01" 2
 
4.3%
"0811A04" 2
 
4.3%
"0714E04" 1
 
2.2%
"0114F02" 1
 
2.2%
Other values (28) 28
60.9%

CO_CINE_AREA_GERAL
Real number (ℝ)

Distinct8
Distinct (%)17.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.173913043
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:10:53.588610image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11.5
median6.5
Q38
95-th percentile8
Maximum10
Range9
Interquartile range (IQR)6.5

Descriptive statistics

Standard deviation2.983691582
Coefficient of variation (CV)0.5766798857
Kurtosis-1.405543534
Mean5.173913043
Median Absolute Deviation (MAD)1.5
Skewness-0.3334622132
Sum238
Variance8.902415459
MonotonicityNot monotonic
2023-09-16T08:10:53.774744image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 12
26.1%
8 11
23.9%
7 10
21.7%
3 4
 
8.7%
6 3
 
6.5%
4 2
 
4.3%
5 2
 
4.3%
10 2
 
4.3%
ValueCountFrequency (%)
1 12
26.1%
3 4
 
8.7%
4 2
 
4.3%
5 2
 
4.3%
6 3
 
6.5%
ValueCountFrequency (%)
10 2
 
4.3%
8 11
23.9%
7 10
21.7%
6 3
 
6.5%
5 2
 
4.3%
Distinct8
Distinct (%)17.4%
Missing0
Missing (%)0.0%
Memory size496.0 B
Educação
12 
Agricultura, silvicultura, pesca e veterinária
11 
Engenharia, produção e construção
10 
Ciências sociais, comunicação e informação
Computação e Tecnologias da Informação e Comunicação (TIC)
Other values (3)

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowEngenharia, produção e construção
2nd rowEngenharia, produção e construção
3rd rowEngenharia, produção e construção
4th rowEngenharia, produção e construção
5th rowEngenharia, produção e construção

Common Values

ValueCountFrequency (%)
Educação 12
26.1%
Agricultura, silvicultura, pesca e veterinária 11
23.9%
Engenharia, produção e construção 10
21.7%
Ciências sociais, comunicação e informação 4
 
8.7%
Computação e Tecnologias da Informação e Comunicação (TIC) 3
 
6.5%
Negócios, administração e direito 2
 
4.3%
Ciências naturais, matemática e estatística 2
 
4.3%
Serviços 2
 
4.3%

Common Values (Plot)

2023-09-16T08:10:54.056434image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

CO_CINE_AREA_ESPECIFICA
Real number (ℝ)

Distinct14
Distinct (%)30.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean53.2173913
Minimum11
Maximum101
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:10:54.335607image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile11
Q116
median66
Q381
95-th percentile83.75
Maximum101
Range90
Interquartile range (IQR)65

Descriptive statistics

Standard deviation30.02733055
Coefficient of variation (CV)0.5642390544
Kurtosis-1.398093366
Mean53.2173913
Median Absolute Deviation (MAD)17
Skewness-0.3441134418
Sum2448
Variance901.6405797
MonotonicityNot monotonic
2023-09-16T08:10:54.578808image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
11 12
26.1%
71 7
15.2%
81 6
13.0%
83 3
 
6.5%
61 3
 
6.5%
31 3
 
6.5%
73 2
 
4.3%
41 2
 
4.3%
51 2
 
4.3%
101 2
 
4.3%
Other values (4) 4
 
8.7%
ValueCountFrequency (%)
11 12
26.1%
31 3
 
6.5%
38 1
 
2.2%
41 2
 
4.3%
51 2
 
4.3%
ValueCountFrequency (%)
101 2
 
4.3%
84 1
 
2.2%
83 3
6.5%
82 1
 
2.2%
81 6
13.0%
Distinct14
Distinct (%)30.4%
Missing0
Missing (%)0.0%
Memory size496.0 B
Educação
12 
Engenharia e profissões correlatas
Agricultura
Pesca
Computação e Tecnologias da Informação e Comunicação (TIC)
Other values (9)
15 

Unique

Unique4 ?
Unique (%)8.7%

Sample

1st rowEngenharia e profissões correlatas
2nd rowEngenharia e profissões correlatas
3rd rowArquitetura e construção
4th rowEngenharia e profissões correlatas
5th rowArquitetura e construção

Common Values

ValueCountFrequency (%)
Educação 12
26.1%
Engenharia e profissões correlatas 7
15.2%
Agricultura 6
13.0%
Pesca 3
 
6.5%
Computação e Tecnologias da Informação e Comunicação (TIC) 3
 
6.5%
Ciências sociais e comportamentais 3
 
6.5%
Arquitetura e construção 2
 
4.3%
Negócios e administração 2
 
4.3%
Ciências biológicas e correlatas 2
 
4.3%
Serviços pessoais 2
 
4.3%
Other values (4) 4
 
8.7%

CO_CINE_AREA_DETALHADA
Real number (ℝ)

Distinct23
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean534.9347826
Minimum113
Maximum1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:10:54.828063image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum113
5-th percentile114
Q1164
median663
Q3811
95-th percentile838.5
Maximum1013
Range900
Interquartile range (IQR)647

Descriptive statistics

Standard deviation299.3770868
Coefficient of variation (CV)0.5596515623
Kurtosis-1.398687791
Mean534.9347826
Median Absolute Deviation (MAD)168
Skewness-0.3449715425
Sum24607
Variance89626.6401
MonotonicityNot monotonic
2023-09-16T08:10:55.070063image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
114 9
19.6%
811 6
13.0%
714 3
 
6.5%
831 3
 
6.5%
115 2
 
4.3%
311 2
 
4.3%
732 2
 
4.3%
511 2
 
4.3%
413 2
 
4.3%
615 2
 
4.3%
Other values (13) 13
28.3%
ValueCountFrequency (%)
113 1
 
2.2%
114 9
19.6%
115 2
 
4.3%
311 2
 
4.3%
312 1
 
2.2%
ValueCountFrequency (%)
1013 1
 
2.2%
1011 1
 
2.2%
841 1
 
2.2%
831 3
6.5%
821 1
 
2.2%
Distinct23
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Memory size496.0 B
Formação de professores em áreas específicas (exceto Letras)
Produção agrícola, agropecuária e zootecnia
Eletrônica e automação
Pesca
Formação de professores de letras
 
2
Other values (18)
23 

Unique

Unique13 ?
Unique (%)28.3%

Sample

1st rowEletrônica e automação
2nd rowEletrônica e automação
3rd rowEngenharia civil e construção
4th rowEngenharia química e de processos
5th rowEngenharia civil e construção

Common Values

ValueCountFrequency (%)
Formação de professores em áreas específicas (exceto Letras) 9
19.6%
Produção agrícola, agropecuária e zootecnia 6
13.0%
Eletrônica e automação 3
 
6.5%
Pesca 3
 
6.5%
Formação de professores de letras 2
 
4.3%
Economia 2
 
4.3%
Engenharia civil e construção 2
 
4.3%
Biologia 2
 
4.3%
Gestão e administração 2
 
4.3%
Gestão e desenvolvimento de sistemas de informação 2
 
4.3%
Other values (13) 13
28.3%

TP_GRAU_ACADEMICO
Real number (ℝ)

Distinct3
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.304347826
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:10:55.352818image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile2
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5107539185
Coefficient of variation (CV)0.3915780041
Kurtosis1.028165375
Mean1.304347826
Median Absolute Deviation (MAD)0
Skewness1.392277348
Sum60
Variance0.2608695652
MonotonicityNot monotonic
2023-09-16T08:10:55.744670image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
1 33
71.7%
2 12
 
26.1%
3 1
 
2.2%
ValueCountFrequency (%)
1 33
71.7%
2 12
 
26.1%
3 1
 
2.2%
ValueCountFrequency (%)
3 1
 
2.2%
2 12
 
26.1%
1 33
71.7%

IN_GRATUITO
Real number (ℝ)

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:10:55.968823image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum46
Variance0
MonotonicityIncreasing
2023-09-16T08:10:56.123107image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1 46
100.0%
ValueCountFrequency (%)
1 46
100.0%
ValueCountFrequency (%)
1 46
100.0%

TP_MODALIDADE_ENSINO
Real number (ℝ)

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:10:56.317885image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum46
Variance0
MonotonicityIncreasing
2023-09-16T08:10:56.499293image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1 46
100.0%
ValueCountFrequency (%)
1 46
100.0%
ValueCountFrequency (%)
1 46
100.0%

TP_NIVEL_ACADEMICO
Real number (ℝ)

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:10:56.688146image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum46
Variance0
MonotonicityIncreasing
2023-09-16T08:10:56.849348image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1 46
100.0%
ValueCountFrequency (%)
1 46
100.0%
ValueCountFrequency (%)
1 46
100.0%

QT_CURSO
Real number (ℝ)

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:10:57.024568image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum46
Variance0
MonotonicityIncreasing
2023-09-16T08:10:57.189798image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1 46
100.0%
ValueCountFrequency (%)
1 46
100.0%
ValueCountFrequency (%)
1 46
100.0%

QT_VG_TOTAL
Real number (ℝ)

Distinct9
Distinct (%)19.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean106.0869565
Minimum0
Maximum180
Zeros2
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:10:57.400460image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile45
Q1100
median100
Q3120
95-th percentile160
Maximum180
Range180
Interquartile range (IQR)20

Descriptive statistics

Standard deviation36.48307132
Coefficient of variation (CV)0.3438978034
Kurtosis2.055444654
Mean106.0869565
Median Absolute Deviation (MAD)20
Skewness-0.7732008698
Sum4880
Variance1331.014493
MonotonicityNot monotonic
2023-09-16T08:10:57.585757image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
100 15
32.6%
120 12
26.1%
80 5
 
10.9%
140 5
 
10.9%
160 2
 
4.3%
60 2
 
4.3%
0 2
 
4.3%
180 2
 
4.3%
40 1
 
2.2%
ValueCountFrequency (%)
0 2
 
4.3%
40 1
 
2.2%
60 2
 
4.3%
80 5
 
10.9%
100 15
32.6%
ValueCountFrequency (%)
180 2
 
4.3%
160 2
 
4.3%
140 5
 
10.9%
120 12
26.1%
100 15
32.6%

QT_VG_TOTAL_DIURNO
Real number (ℝ)

Distinct8
Distinct (%)17.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean76.52173913
Minimum0
Maximum160
Zeros11
Zeros (%)23.9%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:10:57.833258image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q145
median80
Q3120
95-th percentile140
Maximum160
Range160
Interquartile range (IQR)75

Descriptive statistics

Standard deviation50.82507654
Coefficient of variation (CV)0.6641913412
Kurtosis-1.131601273
Mean76.52173913
Median Absolute Deviation (MAD)40
Skewness-0.3993991829
Sum3520
Variance2583.188406
MonotonicityNot monotonic
2023-09-16T08:10:58.088934image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 11
23.9%
120 10
21.7%
80 7
15.2%
60 6
13.0%
140 5
10.9%
100 5
10.9%
40 1
 
2.2%
160 1
 
2.2%
ValueCountFrequency (%)
0 11
23.9%
40 1
 
2.2%
60 6
13.0%
80 7
15.2%
100 5
10.9%
ValueCountFrequency (%)
160 1
 
2.2%
140 5
10.9%
120 10
21.7%
100 5
10.9%
80 7
15.2%

QT_VG_TOTAL_NOTURNO
Real number (ℝ)

Distinct4
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.56521739
Minimum0
Maximum100
Zeros31
Zeros (%)67.4%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:10:58.323418image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q390
95-th percentile100
Maximum100
Range100
Interquartile range (IQR)90

Descriptive statistics

Standard deviation44.36998594
Coefficient of variation (CV)1.500749524
Kurtosis-1.109320233
Mean29.56521739
Median Absolute Deviation (MAD)0
Skewness0.917462192
Sum1360
Variance1968.695652
MonotonicityNot monotonic
2023-09-16T08:10:58.520891image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 31
67.4%
100 12
 
26.1%
60 2
 
4.3%
40 1
 
2.2%
ValueCountFrequency (%)
0 31
67.4%
40 1
 
2.2%
60 2
 
4.3%
100 12
 
26.1%
ValueCountFrequency (%)
100 12
 
26.1%
60 2
 
4.3%
40 1
 
2.2%
0 31
67.4%

QT_VG_TOTAL_EAD
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros46
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:10:58.733799image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-09-16T08:10:58.886792image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%

QT_VG_NOVA
Real number (ℝ)

Distinct8
Distinct (%)17.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean84.34782609
Minimum0
Maximum160
Zeros2
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:10:59.068998image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile45
Q180
median80
Q380
95-th percentile120
Maximum160
Range160
Interquartile range (IQR)0

Descriptive statistics

Standard deviation28.25693023
Coefficient of variation (CV)0.335004843
Kurtosis3.143496131
Mean84.34782609
Median Absolute Deviation (MAD)0
Skewness-0.4041004932
Sum3880
Variance798.4541063
MonotonicityNot monotonic
2023-09-16T08:10:59.271401image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
80 31
67.4%
120 7
 
15.2%
60 2
 
4.3%
0 2
 
4.3%
40 1
 
2.2%
160 1
 
2.2%
140 1
 
2.2%
100 1
 
2.2%
ValueCountFrequency (%)
0 2
 
4.3%
40 1
 
2.2%
60 2
 
4.3%
80 31
67.4%
100 1
 
2.2%
ValueCountFrequency (%)
160 1
 
2.2%
140 1
 
2.2%
120 7
 
15.2%
100 1
 
2.2%
80 31
67.4%

QT_VG_PROC_SELETIVO
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros46
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:10:59.549220image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-09-16T08:10:59.723095image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%

QT_VG_REMANESC
Real number (ℝ)

Distinct3
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.73913043
Minimum0
Maximum40
Zeros10
Zeros (%)21.7%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:10:59.935841image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q120
median20
Q340
95-th percentile40
Maximum40
Range40
Interquartile range (IQR)20

Descriptive statistics

Standard deviation14.49970848
Coefficient of variation (CV)0.6669865899
Kurtosis-1.033360536
Mean21.73913043
Median Absolute Deviation (MAD)20
Skewness-0.1341535362
Sum1000
Variance210.2415459
MonotonicityNot monotonic
2023-09-16T08:11:00.170158image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
20 22
47.8%
40 14
30.4%
0 10
21.7%
ValueCountFrequency (%)
0 10
21.7%
20 22
47.8%
40 14
30.4%
ValueCountFrequency (%)
40 14
30.4%
20 22
47.8%
0 10
21.7%

QT_VG_PROG_ESPECIAL
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros46
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:00.398133image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-09-16T08:11:00.555326image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%

QT_INSCRITO_TOTAL
Real number (ℝ)

Distinct44
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean808.4565217
Minimum0
Maximum3912
Zeros2
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:00.825390image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile133.5
Q1443
median611
Q3892.75
95-th percentile1765
Maximum3912
Range3912
Interquartile range (IQR)449.75

Descriptive statistics

Standard deviation710.5187059
Coefficient of variation (CV)0.8788582772
Kurtosis9.309113108
Mean808.4565217
Median Absolute Deviation (MAD)241
Skewness2.727323633
Sum37189
Variance504836.8314
MonotonicityNot monotonic
2023-09-16T08:11:01.119076image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
790 2
 
4.3%
0 2
 
4.3%
360 1
 
2.2%
1072 1
 
2.2%
561 1
 
2.2%
454 1
 
2.2%
1809 1
 
2.2%
920 1
 
2.2%
657 1
 
2.2%
826 1
 
2.2%
Other values (34) 34
73.9%
ValueCountFrequency (%)
0 2
4.3%
84 1
2.2%
282 1
2.2%
289 1
2.2%
301 1
2.2%
ValueCountFrequency (%)
3912 1
2.2%
3137 1
2.2%
1809 1
2.2%
1633 1
2.2%
1434 1
2.2%

QT_INSCRITO_TOTAL_DIURNO
Real number (ℝ)

Distinct36
Distinct (%)78.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean590.1086957
Minimum0
Maximum3137
Zeros11
Zeros (%)23.9%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:01.401957image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1118.25
median458.5
Q3763.25
95-th percentile1765
Maximum3137
Range3137
Interquartile range (IQR)645

Descriptive statistics

Standard deviation638.5333622
Coefficient of variation (CV)1.082060588
Kurtosis4.851526695
Mean590.1086957
Median Absolute Deviation (MAD)349
Skewness1.915022216
Sum27145
Variance407724.8546
MonotonicityNot monotonic
2023-09-16T08:11:01.666562image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
0 11
23.9%
360 1
 
2.2%
1633 1
 
2.2%
449 1
 
2.2%
584 1
 
2.2%
561 1
 
2.2%
221 1
 
2.2%
1809 1
 
2.2%
308 1
 
2.2%
3137 1
 
2.2%
Other values (26) 26
56.5%
ValueCountFrequency (%)
0 11
23.9%
84 1
 
2.2%
221 1
 
2.2%
229 1
 
2.2%
282 1
 
2.2%
ValueCountFrequency (%)
3137 1
2.2%
2080 1
2.2%
1809 1
2.2%
1633 1
2.2%
1404 1
2.2%

QT_INSCRITO_TOTAL_NOTURNO
Real number (ℝ)

Distinct16
Distinct (%)34.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean218.3478261
Minimum0
Maximum1832
Zeros31
Zeros (%)67.4%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:01.878416image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3373.5
95-th percentile891.25
Maximum1832
Range1832
Interquartile range (IQR)373.5

Descriptive statistics

Standard deviation385.617209
Coefficient of variation (CV)1.76606846
Kurtosis5.708268552
Mean218.3478261
Median Absolute Deviation (MAD)0
Skewness2.178261678
Sum10044
Variance148700.6319
MonotonicityNot monotonic
2023-09-16T08:11:02.097215image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 31
67.4%
1832 1
 
2.2%
829 1
 
2.2%
704 1
 
2.2%
354 1
 
2.2%
883 1
 
2.2%
233 1
 
2.2%
920 1
 
2.2%
657 1
 
2.2%
518 1
 
2.2%
Other values (6) 6
 
13.0%
ValueCountFrequency (%)
0 31
67.4%
233 1
 
2.2%
289 1
 
2.2%
354 1
 
2.2%
380 1
 
2.2%
ValueCountFrequency (%)
1832 1
2.2%
920 1
2.2%
894 1
2.2%
883 1
2.2%
829 1
2.2%

QT_INSCRITO_TOTAL_EAD
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros46
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:02.312268image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-09-16T08:11:02.472852image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%

QT_INSC_VG_NOVA
Real number (ℝ)

Distinct44
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean800.8043478
Minimum0
Maximum3898
Zeros2
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:02.702649image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile133.5
Q1443
median610.5
Q3888.25
95-th percentile1761
Maximum3898
Range3898
Interquartile range (IQR)445.25

Descriptive statistics

Standard deviation700.3801069
Coefficient of variation (CV)0.8745957847
Kurtosis9.491610757
Mean800.8043478
Median Absolute Deviation (MAD)242
Skewness2.740631825
Sum36837
Variance490532.2942
MonotonicityNot monotonic
2023-09-16T08:11:03.055538image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
784 2
 
4.3%
0 2
 
4.3%
360 1
 
2.2%
1055 1
 
2.2%
558 1
 
2.2%
450 1
 
2.2%
1809 1
 
2.2%
904 1
 
2.2%
633 1
 
2.2%
816 1
 
2.2%
Other values (34) 34
73.9%
ValueCountFrequency (%)
0 2
4.3%
84 1
2.2%
282 1
2.2%
289 1
2.2%
301 1
2.2%
ValueCountFrequency (%)
3898 1
2.2%
3036 1
2.2%
1809 1
2.2%
1617 1
2.2%
1406 1
2.2%

QT_INSC_PROC_SELETIVO
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros46
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:03.318682image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-09-16T08:11:03.473821image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%

QT_INSC_VG_REMANESC
Real number (ℝ)

Distinct18
Distinct (%)39.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.652173913
Minimum0
Maximum101
Zeros14
Zeros (%)30.4%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:03.670673image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q38.75
95-th percentile22.5
Maximum101
Range101
Interquartile range (IQR)8.75

Descriptive statistics

Standard deviation15.71441998
Coefficient of variation (CV)2.053588974
Kurtosis28.55117787
Mean7.652173913
Median Absolute Deviation (MAD)3
Skewness4.91899952
Sum352
Variance246.9429952
MonotonicityNot monotonic
2023-09-16T08:11:03.882959image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 14
30.4%
1 6
13.0%
3 4
 
8.7%
6 3
 
6.5%
17 2
 
4.3%
4 2
 
4.3%
16 2
 
4.3%
9 2
 
4.3%
7 2
 
4.3%
8 1
 
2.2%
Other values (8) 8
17.4%
ValueCountFrequency (%)
0 14
30.4%
1 6
13.0%
2 1
 
2.2%
3 4
 
8.7%
4 2
 
4.3%
ValueCountFrequency (%)
101 1
2.2%
28 1
2.2%
24 1
2.2%
18 1
2.2%
17 2
4.3%

QT_INSC_VG_PROG_ESPECIAL
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros46
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:04.055216image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-09-16T08:11:04.236598image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%

QT_ING
Real number (ℝ)

Distinct36
Distinct (%)78.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean75.13043478
Minimum0
Maximum155
Zeros2
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:04.447325image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile25.5
Q160
median74.5
Q387.25
95-th percentile121.25
Maximum155
Range155
Interquartile range (IQR)27.25

Descriptive statistics

Standard deviation31.27839773
Coefficient of variation (CV)0.416321266
Kurtosis0.7342868434
Mean75.13043478
Median Absolute Deviation (MAD)14.5
Skewness-0.03474377963
Sum3456
Variance978.3381643
MonotonicityNot monotonic
2023-09-16T08:11:04.702260image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
60 4
 
8.7%
114 2
 
4.3%
74 2
 
4.3%
75 2
 
4.3%
0 2
 
4.3%
85 2
 
4.3%
76 2
 
4.3%
119 2
 
4.3%
22 1
 
2.2%
70 1
 
2.2%
Other values (26) 26
56.5%
ValueCountFrequency (%)
0 2
4.3%
22 1
2.2%
36 1
2.2%
37 1
2.2%
42 1
2.2%
ValueCountFrequency (%)
155 1
2.2%
130 1
2.2%
122 1
2.2%
119 2
4.3%
114 2
4.3%

QT_ING_FEM
Real number (ℝ)

Distinct31
Distinct (%)67.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.23913043
Minimum0
Maximum88
Zeros2
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:05.002337image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9
Q117.25
median30.5
Q344
95-th percentile66.5
Maximum88
Range88
Interquartile range (IQR)26.75

Descriptive statistics

Standard deviation19.56321353
Coefficient of variation (CV)0.606815794
Kurtosis0.8559009404
Mean32.23913043
Median Absolute Deviation (MAD)13.5
Skewness0.8417108488
Sum1483
Variance382.7193237
MonotonicityNot monotonic
2023-09-16T08:11:05.450298image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
44 4
 
8.7%
16 3
 
6.5%
18 3
 
6.5%
19 3
 
6.5%
36 2
 
4.3%
13 2
 
4.3%
30 2
 
4.3%
46 2
 
4.3%
32 2
 
4.3%
0 2
 
4.3%
Other values (21) 21
45.7%
ValueCountFrequency (%)
0 2
4.3%
8 1
2.2%
12 1
2.2%
13 2
4.3%
14 1
2.2%
ValueCountFrequency (%)
88 1
2.2%
84 1
2.2%
69 1
2.2%
59 1
2.2%
53 1
2.2%

QT_ING_MASC
Real number (ℝ)

Distinct35
Distinct (%)76.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42.89130435
Minimum0
Maximum100
Zeros2
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:05.699938image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10.25
Q126.5
median36
Q360
95-th percentile90.75
Maximum100
Range100
Interquartile range (IQR)33.5

Descriptive statistics

Standard deviation24.76308028
Coefficient of variation (CV)0.577345004
Kurtosis-0.2448715913
Mean42.89130435
Median Absolute Deviation (MAD)15
Skewness0.5502318549
Sum1973
Variance613.2101449
MonotonicityNot monotonic
2023-09-16T08:11:05.953976image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
24 3
 
6.5%
28 3
 
6.5%
60 2
 
4.3%
51 2
 
4.3%
30 2
 
4.3%
29 2
 
4.3%
17 2
 
4.3%
36 2
 
4.3%
0 2
 
4.3%
62 1
 
2.2%
Other values (25) 25
54.3%
ValueCountFrequency (%)
0 2
4.3%
9 1
2.2%
14 1
2.2%
16 1
2.2%
17 2
4.3%
ValueCountFrequency (%)
100 1
2.2%
98 1
2.2%
93 1
2.2%
84 1
2.2%
75 1
2.2%

QT_ING_DIURNO
Real number (ℝ)

Distinct27
Distinct (%)58.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean53.54347826
Minimum0
Maximum122
Zeros11
Zeros (%)23.9%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:06.202986image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q125.5
median58
Q375.75
95-th percentile117.75
Maximum122
Range122
Interquartile range (IQR)50.25

Descriptive statistics

Standard deviation38.43823705
Coefficient of variation (CV)0.7178883087
Kurtosis-0.9583618465
Mean53.54347826
Median Absolute Deviation (MAD)21.5
Skewness0.0007969688747
Sum2463
Variance1477.498068
MonotonicityNot monotonic
2023-09-16T08:11:06.455781image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0 11
23.9%
60 3
 
6.5%
42 3
 
6.5%
37 2
 
4.3%
119 2
 
4.3%
85 2
 
4.3%
75 2
 
4.3%
72 2
 
4.3%
48 1
 
2.2%
78 1
 
2.2%
Other values (17) 17
37.0%
ValueCountFrequency (%)
0 11
23.9%
22 1
 
2.2%
36 1
 
2.2%
37 2
 
4.3%
40 1
 
2.2%
ValueCountFrequency (%)
122 1
2.2%
119 2
4.3%
114 1
2.2%
111 1
2.2%
106 1
2.2%

QT_ING_NOTURNO
Real number (ℝ)

Distinct14
Distinct (%)30.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.58695652
Minimum0
Maximum89
Zeros31
Zeros (%)67.4%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:06.709556image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q353.5
95-th percentile83
Maximum89
Range89
Interquartile range (IQR)53.5

Descriptive statistics

Standard deviation32.91779396
Coefficient of variation (CV)1.524892772
Kurtosis-0.7434746523
Mean21.58695652
Median Absolute Deviation (MAD)0
Skewness1.023321151
Sum993
Variance1083.581159
MonotonicityNot monotonic
2023-09-16T08:11:06.910369image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 31
67.4%
83 2
 
4.3%
74 2
 
4.3%
34 1
 
2.2%
84 1
 
2.2%
40 1
 
2.2%
81 1
 
2.2%
37 1
 
2.2%
89 1
 
2.2%
60 1
 
2.2%
Other values (4) 4
 
8.7%
ValueCountFrequency (%)
0 31
67.4%
34 1
 
2.2%
37 1
 
2.2%
40 1
 
2.2%
58 1
 
2.2%
ValueCountFrequency (%)
89 1
2.2%
84 1
2.2%
83 2
4.3%
81 1
2.2%
74 2
4.3%

QT_ING_VG_NOVA
Real number (ℝ)

Distinct35
Distinct (%)76.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean71.93478261
Minimum0
Maximum141
Zeros2
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:07.106067image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile25.5
Q160
median71
Q379
95-th percentile118.75
Maximum141
Range141
Interquartile range (IQR)19

Descriptive statistics

Standard deviation29.25550446
Coefficient of variation (CV)0.4066948338
Kurtosis0.80398356
Mean71.93478261
Median Absolute Deviation (MAD)11
Skewness-0.06179134912
Sum3309
Variance855.8845411
MonotonicityNot monotonic
2023-09-16T08:11:07.380253image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
76 3
 
6.5%
60 3
 
6.5%
72 2
 
4.3%
75 2
 
4.3%
79 2
 
4.3%
69 2
 
4.3%
0 2
 
4.3%
67 2
 
4.3%
113 2
 
4.3%
47 1
 
2.2%
Other values (25) 25
54.3%
ValueCountFrequency (%)
0 2
4.3%
22 1
2.2%
36 1
2.2%
37 1
2.2%
42 1
2.2%
ValueCountFrequency (%)
141 1
2.2%
127 1
2.2%
119 1
2.2%
118 1
2.2%
113 2
4.3%

QT_ING_VESTIBULAR
Real number (ℝ)

Distinct10
Distinct (%)21.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.195652174
Minimum0
Maximum38
Zeros35
Zeros (%)76.1%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:07.638420image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile14.25
Maximum38
Range38
Interquartile range (IQR)0

Descriptive statistics

Standard deviation8.218190028
Coefficient of variation (CV)2.571678512
Kurtosis11.61985452
Mean3.195652174
Median Absolute Deviation (MAD)0
Skewness3.344709965
Sum147
Variance67.53864734
MonotonicityNot monotonic
2023-09-16T08:11:07.852427image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 35
76.1%
4 2
 
4.3%
11 2
 
4.3%
12 1
 
2.2%
38 1
 
2.2%
15 1
 
2.2%
10 1
 
2.2%
36 1
 
2.2%
1 1
 
2.2%
5 1
 
2.2%
ValueCountFrequency (%)
0 35
76.1%
1 1
 
2.2%
4 2
 
4.3%
5 1
 
2.2%
10 1
 
2.2%
ValueCountFrequency (%)
38 1
2.2%
36 1
2.2%
15 1
2.2%
12 1
2.2%
11 2
4.3%

QT_ING_ENEM
Real number (ℝ)

Distinct32
Distinct (%)69.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean68.73913043
Minimum0
Maximum141
Zeros3
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:08.092468image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5.25
Q157
median69.5
Q378.75
95-th percentile113
Maximum141
Range141
Interquartile range (IQR)21.75

Descriptive statistics

Standard deviation29.70629173
Coefficient of variation (CV)0.4321598417
Kurtosis0.9708101903
Mean68.73913043
Median Absolute Deviation (MAD)9.5
Skewness-0.2221030748
Sum3162
Variance882.4637681
MonotonicityNot monotonic
2023-09-16T08:11:08.294245image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
72 3
 
6.5%
0 3
 
6.5%
60 3
 
6.5%
67 2
 
4.3%
75 2
 
4.3%
53 2
 
4.3%
79 2
 
4.3%
69 2
 
4.3%
76 2
 
4.3%
100 2
 
4.3%
Other values (22) 23
50.0%
ValueCountFrequency (%)
0 3
6.5%
21 1
 
2.2%
33 1
 
2.2%
42 1
 
2.2%
43 1
 
2.2%
ValueCountFrequency (%)
141 1
2.2%
127 1
2.2%
113 2
4.3%
108 1
2.2%
104 1
2.2%

QT_ING_AVALIACAO_SERIADA
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros46
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:08.520286image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-09-16T08:11:08.677584image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%

QT_ING_SELECAO_SIMPLIFICA
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros46
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:08.842369image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-09-16T08:11:08.992486image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%

QT_ING_EGR
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros46
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:09.151914image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-09-16T08:11:09.299395image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%

QT_ING_OUTRO_TIPO_SELECAO
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros46
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:09.457350image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-09-16T08:11:09.608483image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%

QT_ING_PROC_SELETIVO
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros46
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:09.766939image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-09-16T08:11:09.909441image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%

QT_ING_VG_REMANESC
Real number (ℝ)

Distinct9
Distinct (%)19.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.956521739
Minimum0
Maximum11
Zeros22
Zeros (%)47.8%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:10.079984image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile8.25
Maximum11
Range11
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.828085507
Coefficient of variation (CV)1.445465926
Kurtosis1.964252974
Mean1.956521739
Median Absolute Deviation (MAD)1
Skewness1.611476025
Sum90
Variance7.998067633
MonotonicityNot monotonic
2023-09-16T08:11:10.253324image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 22
47.8%
1 8
 
17.4%
2 3
 
6.5%
5 3
 
6.5%
6 3
 
6.5%
9 2
 
4.3%
3 2
 
4.3%
4 2
 
4.3%
11 1
 
2.2%
ValueCountFrequency (%)
0 22
47.8%
1 8
 
17.4%
2 3
 
6.5%
3 2
 
4.3%
4 2
 
4.3%
ValueCountFrequency (%)
11 1
 
2.2%
9 2
4.3%
6 3
6.5%
5 3
6.5%
4 2
4.3%

QT_ING_VG_PROG_ESPECIAL
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros46
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:10.422574image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-09-16T08:11:10.571079image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%

QT_ING_OUTRA_FORMA
Real number (ℝ)

Distinct7
Distinct (%)15.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.239130435
Minimum0
Maximum21
Zeros29
Zeros (%)63.0%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:10.719214image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3.75
Maximum21
Range21
Interquartile range (IQR)1

Descriptive statistics

Standard deviation3.246774691
Coefficient of variation (CV)2.620204137
Kurtosis31.71972058
Mean1.239130435
Median Absolute Deviation (MAD)0
Skewness5.270177006
Sum57
Variance10.54154589
MonotonicityNot monotonic
2023-09-16T08:11:10.886318image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 29
63.0%
1 6
 
13.0%
3 5
 
10.9%
2 3
 
6.5%
4 1
 
2.2%
5 1
 
2.2%
21 1
 
2.2%
ValueCountFrequency (%)
0 29
63.0%
1 6
 
13.0%
2 3
 
6.5%
3 5
 
10.9%
4 1
 
2.2%
ValueCountFrequency (%)
21 1
 
2.2%
5 1
 
2.2%
4 1
 
2.2%
3 5
10.9%
2 3
6.5%

QT_ING_0_17
Real number (ℝ)

Distinct8
Distinct (%)17.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.173913043
Minimum0
Maximum8
Zeros9
Zeros (%)19.6%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:11.060188image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1.5
Q33.75
95-th percentile5
Maximum8
Range8
Interquartile range (IQR)2.75

Descriptive statistics

Standard deviation1.96982061
Coefficient of variation (CV)0.9061174807
Kurtosis0.2013276664
Mean2.173913043
Median Absolute Deviation (MAD)1.5
Skewness0.9138715348
Sum100
Variance3.880193237
MonotonicityNot monotonic
2023-09-16T08:11:11.244646image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 14
30.4%
0 9
19.6%
2 7
15.2%
5 6
13.0%
3 4
 
8.7%
4 4
 
8.7%
8 1
 
2.2%
6 1
 
2.2%
ValueCountFrequency (%)
0 9
19.6%
1 14
30.4%
2 7
15.2%
3 4
 
8.7%
4 4
 
8.7%
ValueCountFrequency (%)
8 1
 
2.2%
6 1
 
2.2%
5 6
13.0%
4 4
8.7%
3 4
8.7%

QT_ING_18_24
Real number (ℝ)

Distinct36
Distinct (%)78.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean54.56521739
Minimum0
Maximum115
Zeros2
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:11.458224image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile11.75
Q142.25
median52.5
Q367
95-th percentile98
Maximum115
Range115
Interquartile range (IQR)24.75

Descriptive statistics

Standard deviation24.83604207
Coefficient of variation (CV)0.4551625239
Kurtosis0.5172201383
Mean54.56521739
Median Absolute Deviation (MAD)12
Skewness0.05472626171
Sum2510
Variance616.8289855
MonotonicityNot monotonic
2023-09-16T08:11:11.684010image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
67 2
 
4.3%
51 2
 
4.3%
50 2
 
4.3%
42 2
 
4.3%
40 2
 
4.3%
53 2
 
4.3%
64 2
 
4.3%
0 2
 
4.3%
49 2
 
4.3%
44 2
 
4.3%
Other values (26) 26
56.5%
ValueCountFrequency (%)
0 2
4.3%
11 1
2.2%
14 1
2.2%
19 1
2.2%
24 1
2.2%
ValueCountFrequency (%)
115 1
2.2%
105 1
2.2%
100 1
2.2%
92 1
2.2%
88 1
2.2%

QT_ING_25_29
Real number (ℝ)

Distinct17
Distinct (%)37.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.456521739
Minimum0
Maximum17
Zeros3
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:11.903000image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.25
Q14
median6
Q311
95-th percentile16
Maximum17
Range17
Interquartile range (IQR)7

Descriptive statistics

Standard deviation4.731485657
Coefficient of variation (CV)0.6345432659
Kurtosis-0.7988260747
Mean7.456521739
Median Absolute Deviation (MAD)3
Skewness0.3985037321
Sum343
Variance22.38695652
MonotonicityNot monotonic
2023-09-16T08:11:12.102703image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
6 6
13.0%
3 5
10.9%
4 5
10.9%
11 5
10.9%
8 4
8.7%
5 3
 
6.5%
0 3
 
6.5%
16 3
 
6.5%
13 2
 
4.3%
7 2
 
4.3%
Other values (7) 8
17.4%
ValueCountFrequency (%)
0 3
6.5%
1 1
 
2.2%
2 1
 
2.2%
3 5
10.9%
4 5
10.9%
ValueCountFrequency (%)
17 1
 
2.2%
16 3
6.5%
15 1
 
2.2%
14 1
 
2.2%
13 2
4.3%

QT_ING_30_34
Real number (ℝ)

Distinct12
Distinct (%)26.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.934782609
Minimum0
Maximum12
Zeros4
Zeros (%)8.7%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:12.286676image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q35
95-th percentile9
Maximum12
Range12
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.006675343
Coefficient of variation (CV)0.7641274352
Kurtosis-0.009965551184
Mean3.934782609
Median Absolute Deviation (MAD)2
Skewness0.7629433766
Sum181
Variance9.040096618
MonotonicityNot monotonic
2023-09-16T08:11:12.487474image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1 9
19.6%
5 9
19.6%
3 8
17.4%
9 4
8.7%
0 4
8.7%
2 3
 
6.5%
4 3
 
6.5%
6 2
 
4.3%
10 1
 
2.2%
12 1
 
2.2%
Other values (2) 2
 
4.3%
ValueCountFrequency (%)
0 4
8.7%
1 9
19.6%
2 3
 
6.5%
3 8
17.4%
4 3
 
6.5%
ValueCountFrequency (%)
12 1
 
2.2%
10 1
 
2.2%
9 4
8.7%
8 1
 
2.2%
7 1
 
2.2%

QT_ING_35_39
Real number (ℝ)

Distinct9
Distinct (%)19.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.891304348
Minimum0
Maximum8
Zeros8
Zeros (%)17.4%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:12.699128image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2.5
Q34
95-th percentile7.75
Maximum8
Range8
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.349735312
Coefficient of variation (CV)0.8126904088
Kurtosis-0.2907966494
Mean2.891304348
Median Absolute Deviation (MAD)1.5
Skewness0.6842066318
Sum133
Variance5.521256039
MonotonicityNot monotonic
2023-09-16T08:11:12.867264image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 8
17.4%
2 8
17.4%
4 8
17.4%
1 7
15.2%
3 6
13.0%
8 3
 
6.5%
6 2
 
4.3%
5 2
 
4.3%
7 2
 
4.3%
ValueCountFrequency (%)
0 8
17.4%
1 7
15.2%
2 8
17.4%
3 6
13.0%
4 8
17.4%
ValueCountFrequency (%)
8 3
 
6.5%
7 2
 
4.3%
6 2
 
4.3%
5 2
 
4.3%
4 8
17.4%

QT_ING_40_49
Real number (ℝ)

Distinct10
Distinct (%)21.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.934782609
Minimum0
Maximum11
Zeros10
Zeros (%)21.7%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:13.073871image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q35
95-th percentile7.75
Maximum11
Range11
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.760049709
Coefficient of variation (CV)0.9404613823
Kurtosis0.112418907
Mean2.934782609
Median Absolute Deviation (MAD)2
Skewness0.8663713159
Sum135
Variance7.617874396
MonotonicityNot monotonic
2023-09-16T08:11:13.221343image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1 10
21.7%
0 10
21.7%
3 5
10.9%
2 4
 
8.7%
4 4
 
8.7%
5 4
 
8.7%
6 3
 
6.5%
7 3
 
6.5%
8 2
 
4.3%
11 1
 
2.2%
ValueCountFrequency (%)
0 10
21.7%
1 10
21.7%
2 4
 
8.7%
3 5
10.9%
4 4
 
8.7%
ValueCountFrequency (%)
11 1
 
2.2%
8 2
4.3%
7 3
6.5%
6 3
6.5%
5 4
8.7%

QT_ING_50_59
Real number (ℝ)

Distinct6
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9347826087
Minimum0
Maximum5
Zeros23
Zeros (%)50.0%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:13.396561image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.5
Q31
95-th percentile3.75
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.323332056
Coefficient of variation (CV)1.415657548
Kurtosis2.672206255
Mean0.9347826087
Median Absolute Deviation (MAD)0.5
Skewness1.748677888
Sum43
Variance1.751207729
MonotonicityNot monotonic
2023-09-16T08:11:13.568046image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 23
50.0%
1 14
30.4%
2 3
 
6.5%
3 3
 
6.5%
5 2
 
4.3%
4 1
 
2.2%
ValueCountFrequency (%)
0 23
50.0%
1 14
30.4%
2 3
 
6.5%
3 3
 
6.5%
4 1
 
2.2%
ValueCountFrequency (%)
5 2
 
4.3%
4 1
 
2.2%
3 3
 
6.5%
2 3
 
6.5%
1 14
30.4%

QT_ING_60_MAIS
Real number (ℝ)

Distinct4
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2391304348
Minimum0
Maximum4
Zeros39
Zeros (%)84.8%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:13.721933image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum4
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7050542173
Coefficient of variation (CV)2.948408545
Kurtosis18.52058324
Mean0.2391304348
Median Absolute Deviation (MAD)0
Skewness3.998617289
Sum11
Variance0.4971014493
MonotonicityNot monotonic
2023-09-16T08:11:13.892221image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 39
84.8%
1 5
 
10.9%
2 1
 
2.2%
4 1
 
2.2%
ValueCountFrequency (%)
0 39
84.8%
1 5
 
10.9%
2 1
 
2.2%
4 1
 
2.2%
ValueCountFrequency (%)
4 1
 
2.2%
2 1
 
2.2%
1 5
 
10.9%
0 39
84.8%

QT_ING_BRANCA
Real number (ℝ)

Distinct30
Distinct (%)65.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.93478261
Minimum0
Maximum57
Zeros2
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:14.119721image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q119
median28
Q334.75
95-th percentile48.75
Maximum57
Range57
Interquartile range (IQR)15.75

Descriptive statistics

Standard deviation13.27889248
Coefficient of variation (CV)0.4930016579
Kurtosis-0.2241196711
Mean26.93478261
Median Absolute Deviation (MAD)9
Skewness-0.05660132599
Sum1239
Variance176.3289855
MonotonicityNot monotonic
2023-09-16T08:11:14.302212image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
31 3
 
6.5%
19 3
 
6.5%
25 3
 
6.5%
28 3
 
6.5%
5 2
 
4.3%
35 2
 
4.3%
24 2
 
4.3%
15 2
 
4.3%
34 2
 
4.3%
0 2
 
4.3%
Other values (20) 22
47.8%
ValueCountFrequency (%)
0 2
4.3%
5 2
4.3%
8 1
2.2%
11 2
4.3%
13 1
2.2%
ValueCountFrequency (%)
57 1
2.2%
50 1
2.2%
49 1
2.2%
48 1
2.2%
44 1
2.2%

QT_ING_PRETA
Real number (ℝ)

Distinct18
Distinct (%)39.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.152173913
Minimum0
Maximum25
Zeros2
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:14.475801image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q15.25
median7.5
Q312.75
95-th percentile18
Maximum25
Range25
Interquartile range (IQR)7.5

Descriptive statistics

Standard deviation5.387093182
Coefficient of variation (CV)0.5886135068
Kurtosis0.5501971959
Mean9.152173913
Median Absolute Deviation (MAD)3.5
Skewness0.7960172371
Sum421
Variance29.02077295
MonotonicityNot monotonic
2023-09-16T08:11:14.867325image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
7 6
13.0%
6 5
10.9%
12 4
 
8.7%
4 4
 
8.7%
5 4
 
8.7%
13 3
 
6.5%
8 3
 
6.5%
9 2
 
4.3%
18 2
 
4.3%
0 2
 
4.3%
Other values (8) 11
23.9%
ValueCountFrequency (%)
0 2
 
4.3%
3 2
 
4.3%
4 4
8.7%
5 4
8.7%
6 5
10.9%
ValueCountFrequency (%)
25 1
2.2%
21 1
2.2%
18 2
4.3%
17 1
2.2%
15 2
4.3%

QT_ING_PARDA
Real number (ℝ)

Distinct30
Distinct (%)65.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.7173913
Minimum0
Maximum76
Zeros2
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:15.094292image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile11.75
Q129.25
median35.5
Q343
95-th percentile62
Maximum76
Range76
Interquartile range (IQR)13.75

Descriptive statistics

Standard deviation14.91704922
Coefficient of variation (CV)0.4176410616
Kurtosis1.141074789
Mean35.7173913
Median Absolute Deviation (MAD)7.5
Skewness0.03153524803
Sum1643
Variance222.5183575
MonotonicityNot monotonic
2023-09-16T08:11:15.303288image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
31 4
 
8.7%
41 3
 
6.5%
44 3
 
6.5%
43 2
 
4.3%
0 2
 
4.3%
25 2
 
4.3%
32 2
 
4.3%
40 2
 
4.3%
30 2
 
4.3%
39 2
 
4.3%
Other values (20) 22
47.8%
ValueCountFrequency (%)
0 2
4.3%
11 1
2.2%
14 1
2.2%
18 1
2.2%
20 1
2.2%
ValueCountFrequency (%)
76 1
2.2%
65 1
2.2%
63 1
2.2%
59 1
2.2%
52 1
2.2%

QT_ING_AMARELA
Real number (ℝ)

Distinct5
Distinct (%)10.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8043478261
Minimum0
Maximum4
Zeros21
Zeros (%)45.7%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:15.505898image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile2
Maximum4
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9337990556
Coefficient of variation (CV)1.160939366
Kurtosis1.820359748
Mean0.8043478261
Median Absolute Deviation (MAD)1
Skewness1.266141603
Sum37
Variance0.8719806763
MonotonicityNot monotonic
2023-09-16T08:11:15.669728image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
0 21
45.7%
1 16
34.8%
2 7
 
15.2%
4 1
 
2.2%
3 1
 
2.2%
ValueCountFrequency (%)
0 21
45.7%
1 16
34.8%
2 7
 
15.2%
3 1
 
2.2%
4 1
 
2.2%
ValueCountFrequency (%)
4 1
 
2.2%
3 1
 
2.2%
2 7
 
15.2%
1 16
34.8%
0 21
45.7%

QT_ING_INDIGENA
Real number (ℝ)

Distinct5
Distinct (%)10.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4782608696
Minimum0
Maximum5
Zeros37
Zeros (%)80.4%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:15.850029image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.168838558
Coefficient of variation (CV)2.443935167
Kurtosis6.250403626
Mean0.4782608696
Median Absolute Deviation (MAD)0
Skewness2.629851361
Sum22
Variance1.366183575
MonotonicityNot monotonic
2023-09-16T08:11:16.019194image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
0 37
80.4%
1 4
 
8.7%
3 3
 
6.5%
4 1
 
2.2%
5 1
 
2.2%
ValueCountFrequency (%)
0 37
80.4%
1 4
 
8.7%
3 3
 
6.5%
4 1
 
2.2%
5 1
 
2.2%
ValueCountFrequency (%)
5 1
 
2.2%
4 1
 
2.2%
3 3
 
6.5%
1 4
 
8.7%
0 37
80.4%

QT_ING_CORND
Real number (ℝ)

Distinct10
Distinct (%)21.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.043478261
Minimum0
Maximum10
Zeros17
Zeros (%)37.0%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:16.197802image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile7.5
Maximum10
Range10
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.467175819
Coefficient of variation (CV)1.207341358
Kurtosis2.485905999
Mean2.043478261
Median Absolute Deviation (MAD)1
Skewness1.590738692
Sum94
Variance6.086956522
MonotonicityNot monotonic
2023-09-16T08:11:16.369157image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 17
37.0%
1 7
15.2%
2 7
15.2%
4 5
 
10.9%
3 5
 
10.9%
5 1
 
2.2%
10 1
 
2.2%
6 1
 
2.2%
9 1
 
2.2%
8 1
 
2.2%
ValueCountFrequency (%)
0 17
37.0%
1 7
15.2%
2 7
15.2%
3 5
 
10.9%
4 5
 
10.9%
ValueCountFrequency (%)
10 1
2.2%
9 1
2.2%
8 1
2.2%
6 1
2.2%
5 1
2.2%

QT_MAT
Real number (ℝ)

Distinct43
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean280.5217391
Minimum1
Maximum709
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:16.594846image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile55.5
Q1217
median285
Q3371
95-th percentile471.5
Maximum709
Range708
Interquartile range (IQR)154

Descriptive statistics

Standard deviation141.6582333
Coefficient of variation (CV)0.504981303
Kurtosis1.12851906
Mean280.5217391
Median Absolute Deviation (MAD)70.5
Skewness0.3833548268
Sum12904
Variance20067.05507
MonotonicityNot monotonic
2023-09-16T08:11:16.823986image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
304 2
 
4.3%
303 2
 
4.3%
215 2
 
4.3%
123 1
 
2.2%
600 1
 
2.2%
245 1
 
2.2%
258 1
 
2.2%
239 1
 
2.2%
378 1
 
2.2%
394 1
 
2.2%
Other values (33) 33
71.7%
ValueCountFrequency (%)
1 1
2.2%
10 1
2.2%
50 1
2.2%
72 1
2.2%
86 1
2.2%
ValueCountFrequency (%)
709 1
2.2%
600 1
2.2%
482 1
2.2%
440 1
2.2%
436 1
2.2%

QT_MAT_FEM
Real number (ℝ)

Distinct43
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean123.4130435
Minimum0
Maximum433
Zeros1
Zeros (%)2.2%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:17.095439image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile18.25
Q152.25
median122.5
Q3159.5
95-th percentile245.5
Maximum433
Range433
Interquartile range (IQR)107.25

Descriptive statistics

Standard deviation90.32277333
Coefficient of variation (CV)0.7318738018
Kurtosis2.851006377
Mean123.4130435
Median Absolute Deviation (MAD)59.5
Skewness1.375355339
Sum5677
Variance8158.203382
MonotonicityNot monotonic
2023-09-16T08:11:17.302804image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
183 2
 
4.3%
52 2
 
4.3%
155 2
 
4.3%
74 1
 
2.2%
165 1
 
2.2%
61 1
 
2.2%
132 1
 
2.2%
142 1
 
2.2%
249 1
 
2.2%
433 1
 
2.2%
Other values (33) 33
71.7%
ValueCountFrequency (%)
0 1
2.2%
7 1
2.2%
18 1
2.2%
19 1
2.2%
25 1
2.2%
ValueCountFrequency (%)
433 1
2.2%
387 1
2.2%
249 1
2.2%
235 1
2.2%
232 1
2.2%

QT_MAT_MASC
Real number (ℝ)

Distinct43
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean157.1086957
Minimum1
Maximum339
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:17.541429image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile31.25
Q180.5
median140.5
Q3219.5
95-th percentile328
Maximum339
Range338
Interquartile range (IQR)139

Descriptive statistics

Standard deviation98.29529847
Coefficient of variation (CV)0.6256515469
Kurtosis-0.8355082763
Mean157.1086957
Median Absolute Deviation (MAD)67
Skewness0.4244498411
Sum7227
Variance9661.9657
MonotonicityNot monotonic
2023-09-16T08:11:17.769722image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
181 2
 
4.3%
328 2
 
4.3%
120 2
 
4.3%
104 1
 
2.2%
205 1
 
2.2%
197 1
 
2.2%
107 1
 
2.2%
236 1
 
2.2%
145 1
 
2.2%
327 1
 
2.2%
Other values (33) 33
71.7%
ValueCountFrequency (%)
1 1
2.2%
3 1
2.2%
31 1
2.2%
32 1
2.2%
42 1
2.2%
ValueCountFrequency (%)
339 1
2.2%
329 1
2.2%
328 2
4.3%
327 1
2.2%
322 1
2.2%

QT_MAT_DIURNO
Real number (ℝ)

Distinct36
Distinct (%)78.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean192.7391304
Minimum0
Maximum600
Zeros10
Zeros (%)21.7%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:18.004467image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q155.5
median189
Q3303.75
95-th percentile406.5
Maximum600
Range600
Interquartile range (IQR)248.25

Descriptive statistics

Standard deviation152.9267704
Coefficient of variation (CV)0.7934391426
Kurtosis-0.5635543786
Mean192.7391304
Median Absolute Deviation (MAD)126
Skewness0.3423990498
Sum8866
Variance23386.5971
MonotonicityNot monotonic
2023-09-16T08:11:18.213489image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
0 10
 
21.7%
163 2
 
4.3%
225 1
 
2.2%
257 1
 
2.2%
162 1
 
2.2%
245 1
 
2.2%
304 1
 
2.2%
113 1
 
2.2%
239 1
 
2.2%
123 1
 
2.2%
Other values (26) 26
56.5%
ValueCountFrequency (%)
0 10
21.7%
10 1
 
2.2%
50 1
 
2.2%
72 1
 
2.2%
86 1
 
2.2%
ValueCountFrequency (%)
600 1
2.2%
436 1
2.2%
413 1
2.2%
387 1
2.2%
381 1
2.2%

QT_MAT_NOTURNO
Real number (ℝ)

Distinct17
Distinct (%)37.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean87.7826087
Minimum0
Maximum394
Zeros30
Zeros (%)65.2%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:18.419310image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3205.75
95-th percentile349.5
Maximum394
Range394
Interquartile range (IQR)205.75

Descriptive statistics

Standard deviation134.4460095
Coefficient of variation (CV)1.531579108
Kurtosis-0.4886984791
Mean87.7826087
Median Absolute Deviation (MAD)0
Skewness1.078143308
Sum4038
Variance18075.72947
MonotonicityNot monotonic
2023-09-16T08:11:18.594691image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 30
65.2%
394 1
 
2.2%
223 1
 
2.2%
302 1
 
2.2%
215 1
 
2.2%
255 1
 
2.2%
277 1
 
2.2%
257 1
 
2.2%
378 1
 
2.2%
178 1
 
2.2%
Other values (7) 7
 
15.2%
ValueCountFrequency (%)
0 30
65.2%
1 1
 
2.2%
145 1
 
2.2%
161 1
 
2.2%
178 1
 
2.2%
ValueCountFrequency (%)
394 1
2.2%
378 1
2.2%
359 1
2.2%
321 1
2.2%
304 1
2.2%

QT_MAT_0_17
Real number (ℝ)

Distinct8
Distinct (%)17.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.195652174
Minimum0
Maximum8
Zeros9
Zeros (%)19.6%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:18.795805image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1.5
Q33.75
95-th percentile5
Maximum8
Range8
Interquartile range (IQR)2.75

Descriptive statistics

Standard deviation1.99576847
Coefficient of variation (CV)0.9089638578
Kurtosis0.06827863507
Mean2.195652174
Median Absolute Deviation (MAD)1.5
Skewness0.8926930728
Sum101
Variance3.983091787
MonotonicityNot monotonic
2023-09-16T08:11:18.968926image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 14
30.4%
0 9
19.6%
2 7
15.2%
5 7
15.2%
3 4
 
8.7%
4 3
 
6.5%
8 1
 
2.2%
6 1
 
2.2%
ValueCountFrequency (%)
0 9
19.6%
1 14
30.4%
2 7
15.2%
3 4
 
8.7%
4 3
 
6.5%
ValueCountFrequency (%)
8 1
 
2.2%
6 1
 
2.2%
5 7
15.2%
4 3
6.5%
3 4
8.7%

QT_MAT_18_24
Real number (ℝ)

Distinct44
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean186.3913043
Minimum0
Maximum461
Zeros1
Zeros (%)2.2%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:19.209156image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile20.75
Q1140.25
median179.5
Q3254
95-th percentile317.5
Maximum461
Range461
Interquartile range (IQR)113.75

Descriptive statistics

Standard deviation96.09982732
Coefficient of variation (CV)0.5155810656
Kurtosis0.7866208575
Mean186.3913043
Median Absolute Deviation (MAD)47.5
Skewness0.3501881408
Sum8574
Variance9235.176812
MonotonicityNot monotonic
2023-09-16T08:11:19.432020image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
132 2
 
4.3%
254 2
 
4.3%
116 1
 
2.2%
260 1
 
2.2%
212 1
 
2.2%
158 1
 
2.2%
140 1
 
2.2%
187 1
 
2.2%
319 1
 
2.2%
402 1
 
2.2%
Other values (34) 34
73.9%
ValueCountFrequency (%)
0 1
2.2%
2 1
2.2%
19 1
2.2%
26 1
2.2%
53 1
2.2%
ValueCountFrequency (%)
461 1
2.2%
402 1
2.2%
319 1
2.2%
313 1
2.2%
300 1
2.2%

QT_MAT_25_29
Real number (ℝ)

Distinct35
Distinct (%)76.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46.95652174
Minimum0
Maximum123
Zeros1
Zeros (%)2.2%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:19.652144image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.25
Q134
median43.5
Q361.75
95-th percentile96.5
Maximum123
Range123
Interquartile range (IQR)27.75

Descriptive statistics

Standard deviation28.6852316
Coefficient of variation (CV)0.6108891915
Kurtosis0.1726865956
Mean46.95652174
Median Absolute Deviation (MAD)15.5
Skewness0.4099572219
Sum2160
Variance822.8425121
MonotonicityNot monotonic
2023-09-16T08:11:19.865002image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
42 3
 
6.5%
8 3
 
6.5%
46 3
 
6.5%
2 2
 
4.3%
59 2
 
4.3%
34 2
 
4.3%
40 2
 
4.3%
57 2
 
4.3%
38 1
 
2.2%
32 1
 
2.2%
Other values (25) 25
54.3%
ValueCountFrequency (%)
0 1
 
2.2%
2 2
4.3%
3 1
 
2.2%
8 3
6.5%
9 1
 
2.2%
ValueCountFrequency (%)
123 1
2.2%
105 1
2.2%
97 1
2.2%
95 1
2.2%
91 1
2.2%

QT_MAT_30_34
Real number (ℝ)

Distinct28
Distinct (%)60.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.67391304
Minimum0
Maximum57
Zeros1
Zeros (%)2.2%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:20.093330image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q19.5
median17
Q323.5
95-th percentile44.75
Maximum57
Range57
Interquartile range (IQR)14

Descriptive statistics

Standard deviation13.19099752
Coefficient of variation (CV)0.7063863629
Kurtosis0.7896530536
Mean18.67391304
Median Absolute Deviation (MAD)7.5
Skewness0.9346764024
Sum859
Variance174.0024155
MonotonicityNot monotonic
2023-09-16T08:11:20.268180image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
17 5
 
10.9%
2 3
 
6.5%
18 3
 
6.5%
12 3
 
6.5%
4 3
 
6.5%
16 3
 
6.5%
21 2
 
4.3%
33 2
 
4.3%
8 2
 
4.3%
22 2
 
4.3%
Other values (18) 18
39.1%
ValueCountFrequency (%)
0 1
 
2.2%
1 1
 
2.2%
2 3
6.5%
4 3
6.5%
6 1
 
2.2%
ValueCountFrequency (%)
57 1
2.2%
49 1
2.2%
46 1
2.2%
41 1
2.2%
38 1
2.2%

QT_MAT_35_39
Real number (ℝ)

Distinct21
Distinct (%)45.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.73913043
Minimum0
Maximum40
Zeros2
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:20.470212image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median8.5
Q318.25
95-th percentile24.5
Maximum40
Range40
Interquartile range (IQR)15.25

Descriptive statistics

Standard deviation9.744365398
Coefficient of variation (CV)0.9073700573
Kurtosis1.341586455
Mean10.73913043
Median Absolute Deviation (MAD)6.5
Skewness1.188586706
Sum494
Variance94.952657
MonotonicityNot monotonic
2023-09-16T08:11:20.654138image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
2 6
13.0%
10 4
 
8.7%
3 4
 
8.7%
1 3
 
6.5%
16 3
 
6.5%
6 3
 
6.5%
19 3
 
6.5%
20 3
 
6.5%
0 2
 
4.3%
22 2
 
4.3%
Other values (11) 13
28.3%
ValueCountFrequency (%)
0 2
 
4.3%
1 3
6.5%
2 6
13.0%
3 4
8.7%
4 2
 
4.3%
ValueCountFrequency (%)
40 1
2.2%
39 1
2.2%
25 1
2.2%
23 1
2.2%
22 2
4.3%

QT_MAT_40_49
Real number (ℝ)

Distinct24
Distinct (%)52.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.76086957
Minimum0
Maximum39
Zeros4
Zeros (%)8.7%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:20.867457image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12.25
median8
Q316.75
95-th percentile27.5
Maximum39
Range39
Interquartile range (IQR)14.5

Descriptive statistics

Standard deviation9.922331228
Coefficient of variation (CV)0.9220752253
Kurtosis0.2388023485
Mean10.76086957
Median Absolute Deviation (MAD)7
Skewness0.9624629372
Sum495
Variance98.452657
MonotonicityNot monotonic
2023-09-16T08:11:21.073317image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
1 5
 
10.9%
0 4
 
8.7%
3 4
 
8.7%
8 4
 
8.7%
7 3
 
6.5%
2 3
 
6.5%
11 2
 
4.3%
23 2
 
4.3%
15 2
 
4.3%
26 2
 
4.3%
Other values (14) 15
32.6%
ValueCountFrequency (%)
0 4
8.7%
1 5
10.9%
2 3
6.5%
3 4
8.7%
4 1
 
2.2%
ValueCountFrequency (%)
39 1
2.2%
33 1
2.2%
28 1
2.2%
26 2
4.3%
25 1
2.2%

QT_MAT_50_59
Real number (ℝ)

Distinct12
Distinct (%)26.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.97826087
Minimum0
Maximum17
Zeros9
Zeros (%)19.6%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:21.282340image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2.5
Q36
95-th percentile12.25
Maximum17
Range17
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.085144526
Coefficient of variation (CV)1.02686693
Kurtosis1.286763947
Mean3.97826087
Median Absolute Deviation (MAD)2.5
Skewness1.23496837
Sum183
Variance16.6884058
MonotonicityNot monotonic
2023-09-16T08:11:21.447597image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1 10
21.7%
0 9
19.6%
2 4
 
8.7%
4 4
 
8.7%
6 4
 
8.7%
5 4
 
8.7%
7 3
 
6.5%
9 2
 
4.3%
10 2
 
4.3%
13 2
 
4.3%
Other values (2) 2
 
4.3%
ValueCountFrequency (%)
0 9
19.6%
1 10
21.7%
2 4
 
8.7%
3 1
 
2.2%
4 4
 
8.7%
ValueCountFrequency (%)
17 1
 
2.2%
13 2
4.3%
10 2
4.3%
9 2
4.3%
7 3
6.5%

QT_MAT_60_MAIS
Real number (ℝ)

Distinct6
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8260869565
Minimum0
Maximum6
Zeros27
Zeros (%)58.7%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:21.852695image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3.75
Maximum6
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.321688278
Coefficient of variation (CV)1.599938441
Kurtosis4.826678149
Mean0.8260869565
Median Absolute Deviation (MAD)0
Skewness2.085503675
Sum38
Variance1.746859903
MonotonicityNot monotonic
2023-09-16T08:11:22.007500image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 27
58.7%
1 9
 
19.6%
2 6
 
13.0%
4 2
 
4.3%
6 1
 
2.2%
3 1
 
2.2%
ValueCountFrequency (%)
0 27
58.7%
1 9
 
19.6%
2 6
 
13.0%
3 1
 
2.2%
4 2
 
4.3%
ValueCountFrequency (%)
6 1
 
2.2%
4 2
 
4.3%
3 1
 
2.2%
2 6
13.0%
1 9
19.6%

QT_MAT_BRANCA
Real number (ℝ)

Distinct40
Distinct (%)87.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean96.89130435
Minimum0
Maximum259
Zeros1
Zeros (%)2.2%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:22.205177image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile19.75
Q162.5
median88
Q3135.5
95-th percentile178.25
Maximum259
Range259
Interquartile range (IQR)73

Descriptive statistics

Standard deviation56.39473114
Coefficient of variation (CV)0.5820412009
Kurtosis0.4682859254
Mean96.89130435
Median Absolute Deviation (MAD)40.5
Skewness0.5674979889
Sum4457
Variance3180.3657
MonotonicityNot monotonic
2023-09-16T08:11:22.449681image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
72 2
 
4.3%
125 2
 
4.3%
86 2
 
4.3%
82 2
 
4.3%
136 2
 
4.3%
27 2
 
4.3%
259 1
 
2.2%
95 1
 
2.2%
94 1
 
2.2%
84 1
 
2.2%
Other values (30) 30
65.2%
ValueCountFrequency (%)
0 1
2.2%
2 1
2.2%
18 1
2.2%
25 1
2.2%
27 2
4.3%
ValueCountFrequency (%)
259 1
2.2%
226 1
2.2%
180 1
2.2%
173 1
2.2%
170 1
2.2%

QT_MAT_PRETA
Real number (ℝ)

Distinct34
Distinct (%)73.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.93478261
Minimum0
Maximum110
Zeros1
Zeros (%)2.2%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:22.671016image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q117.5
median32
Q340.5
95-th percentile68.75
Maximum110
Range110
Interquartile range (IQR)23

Descriptive statistics

Standard deviation21.58950586
Coefficient of variation (CV)0.6555229502
Kurtosis2.343444674
Mean32.93478261
Median Absolute Deviation (MAD)10
Skewness1.125836275
Sum1515
Variance466.1067633
MonotonicityNot monotonic
2023-09-16T08:11:22.886645image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
36 3
 
6.5%
6 2
 
4.3%
7 2
 
4.3%
23 2
 
4.3%
42 2
 
4.3%
32 2
 
4.3%
37 2
 
4.3%
17 2
 
4.3%
28 2
 
4.3%
24 2
 
4.3%
Other values (24) 25
54.3%
ValueCountFrequency (%)
0 1
2.2%
1 1
2.2%
6 2
4.3%
7 2
4.3%
9 1
2.2%
ValueCountFrequency (%)
110 1
2.2%
71 1
2.2%
69 1
2.2%
68 1
2.2%
62 1
2.2%

QT_MAT_PARDA
Real number (ℝ)

Distinct40
Distinct (%)87.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean139.2173913
Minimum1
Maximum355
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:23.120161image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile25.75
Q1111.5
median143
Q3169
95-th percentile232.5
Maximum355
Range354
Interquartile range (IQR)57.5

Descriptive statistics

Standard deviation67.15716659
Coefficient of variation (CV)0.4823906407
Kurtosis1.547814965
Mean139.2173913
Median Absolute Deviation (MAD)29.5
Skewness0.2611592489
Sum6404
Variance4510.085024
MonotonicityNot monotonic
2023-09-16T08:11:23.336013image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
121 2
 
4.3%
169 2
 
4.3%
132 2
 
4.3%
189 2
 
4.3%
143 2
 
4.3%
164 2
 
4.3%
172 1
 
2.2%
73 1
 
2.2%
113 1
 
2.2%
160 1
 
2.2%
Other values (30) 30
65.2%
ValueCountFrequency (%)
1 1
2.2%
7 1
2.2%
23 1
2.2%
34 1
2.2%
35 1
2.2%
ValueCountFrequency (%)
355 1
2.2%
257 1
2.2%
233 1
2.2%
231 1
2.2%
201 1
2.2%

QT_MAT_AMARELA
Real number (ℝ)

Distinct10
Distinct (%)21.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.52173913
Minimum0
Maximum10
Zeros6
Zeros (%)13.0%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:23.552995image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.25
median3
Q35
95-th percentile8
Maximum10
Range10
Interquartile range (IQR)3.75

Descriptive statistics

Standard deviation2.72224687
Coefficient of variation (CV)0.772983679
Kurtosis-0.1654341403
Mean3.52173913
Median Absolute Deviation (MAD)2
Skewness0.6973084782
Sum162
Variance7.410628019
MonotonicityNot monotonic
2023-09-16T08:11:23.723662image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
2 8
17.4%
4 8
17.4%
1 6
13.0%
0 6
13.0%
5 5
10.9%
3 4
8.7%
8 4
8.7%
10 2
 
4.3%
6 2
 
4.3%
7 1
 
2.2%
ValueCountFrequency (%)
0 6
13.0%
1 6
13.0%
2 8
17.4%
3 4
8.7%
4 8
17.4%
ValueCountFrequency (%)
10 2
 
4.3%
8 4
8.7%
7 1
 
2.2%
6 2
 
4.3%
5 5
10.9%

QT_MAT_INDIGENA
Real number (ℝ)

Distinct9
Distinct (%)19.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.97826087
Minimum0
Maximum17
Zeros23
Zeros (%)50.0%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:23.917582image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.5
Q31.75
95-th percentile10
Maximum17
Range17
Interquartile range (IQR)1.75

Descriptive statistics

Standard deviation3.684738076
Coefficient of variation (CV)1.862614851
Kurtosis6.082954543
Mean1.97826087
Median Absolute Deviation (MAD)0.5
Skewness2.472748227
Sum91
Variance13.57729469
MonotonicityNot monotonic
2023-09-16T08:11:24.104534image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 23
50.0%
1 11
23.9%
2 3
 
6.5%
10 3
 
6.5%
3 2
 
4.3%
9 1
 
2.2%
17 1
 
2.2%
4 1
 
2.2%
8 1
 
2.2%
ValueCountFrequency (%)
0 23
50.0%
1 11
23.9%
2 3
 
6.5%
3 2
 
4.3%
4 1
 
2.2%
ValueCountFrequency (%)
17 1
 
2.2%
10 3
6.5%
9 1
 
2.2%
8 1
 
2.2%
4 1
 
2.2%

QT_MAT_CORND
Real number (ℝ)

Distinct16
Distinct (%)34.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.97826087
Minimum0
Maximum18
Zeros4
Zeros (%)8.7%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:24.301552image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median5
Q38.75
95-th percentile14.75
Maximum18
Range18
Interquartile range (IQR)6.75

Descriptive statistics

Standard deviation4.640350228
Coefficient of variation (CV)0.7762040382
Kurtosis-0.1456781382
Mean5.97826087
Median Absolute Deviation (MAD)3
Skewness0.721754193
Sum275
Variance21.53285024
MonotonicityNot monotonic
2023-09-16T08:11:24.520556image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
2 6
13.0%
5 5
10.9%
8 5
10.9%
0 4
8.7%
1 4
8.7%
11 3
 
6.5%
9 3
 
6.5%
3 3
 
6.5%
4 3
 
6.5%
12 2
 
4.3%
Other values (6) 8
17.4%
ValueCountFrequency (%)
0 4
8.7%
1 4
8.7%
2 6
13.0%
3 3
6.5%
4 3
6.5%
ValueCountFrequency (%)
18 1
2.2%
16 1
2.2%
15 1
2.2%
14 1
2.2%
12 2
4.3%

QT_CONC
Real number (ℝ)

Distinct21
Distinct (%)45.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.586956522
Minimum0
Maximum40
Zeros9
Zeros (%)19.6%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:24.737908image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.25
median9
Q313.75
95-th percentile27.25
Maximum40
Range40
Interquartile range (IQR)12.5

Descriptive statistics

Standard deviation9.134978166
Coefficient of variation (CV)0.9528548654
Kurtosis1.804340325
Mean9.586956522
Median Absolute Deviation (MAD)7
Skewness1.237950355
Sum441
Variance83.44782609
MonotonicityNot monotonic
2023-09-16T08:11:24.932665image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 9
19.6%
9 7
15.2%
13 4
 
8.7%
4 3
 
6.5%
1 3
 
6.5%
16 3
 
6.5%
8 2
 
4.3%
7 2
 
4.3%
14 1
 
2.2%
17 1
 
2.2%
Other values (11) 11
23.9%
ValueCountFrequency (%)
0 9
19.6%
1 3
 
6.5%
2 1
 
2.2%
3 1
 
2.2%
4 3
 
6.5%
ValueCountFrequency (%)
40 1
2.2%
31 1
2.2%
29 1
2.2%
22 1
2.2%
21 1
2.2%

QT_CONC_FEM
Real number (ℝ)

Distinct17
Distinct (%)37.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.282608696
Minimum0
Maximum26
Zeros12
Zeros (%)26.1%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:25.147312image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.25
median3
Q37.75
95-th percentile19
Maximum26
Range26
Interquartile range (IQR)7.5

Descriptive statistics

Standard deviation6.032000013
Coefficient of variation (CV)1.141860085
Kurtosis2.961268076
Mean5.282608696
Median Absolute Deviation (MAD)3
Skewness1.689201635
Sum243
Variance36.38502415
MonotonicityNot monotonic
2023-09-16T08:11:25.339874image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 12
26.1%
3 5
10.9%
2 5
10.9%
7 3
 
6.5%
6 3
 
6.5%
8 3
 
6.5%
4 2
 
4.3%
1 2
 
4.3%
9 2
 
4.3%
5 2
 
4.3%
Other values (7) 7
15.2%
ValueCountFrequency (%)
0 12
26.1%
1 2
 
4.3%
2 5
10.9%
3 5
10.9%
4 2
 
4.3%
ValueCountFrequency (%)
26 1
2.2%
21 1
2.2%
20 1
2.2%
16 1
2.2%
13 1
2.2%

QT_CONC_MASC
Real number (ℝ)

Distinct12
Distinct (%)26.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.304347826
Minimum0
Maximum20
Zeros12
Zeros (%)26.1%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:25.534698image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.25
median4
Q36
95-th percentile11
Maximum20
Range20
Interquartile range (IQR)5.75

Descriptive statistics

Standard deviation4.299196644
Coefficient of variation (CV)0.9988032608
Kurtosis2.801892531
Mean4.304347826
Median Absolute Deviation (MAD)3
Skewness1.378017718
Sum198
Variance18.48309179
MonotonicityNot monotonic
2023-09-16T08:11:25.702636image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 12
26.1%
5 6
13.0%
6 6
13.0%
1 5
10.9%
7 3
 
6.5%
11 3
 
6.5%
4 3
 
6.5%
3 3
 
6.5%
8 2
 
4.3%
2 1
 
2.2%
Other values (2) 2
 
4.3%
ValueCountFrequency (%)
0 12
26.1%
1 5
10.9%
2 1
 
2.2%
3 3
 
6.5%
4 3
 
6.5%
ValueCountFrequency (%)
20 1
 
2.2%
14 1
 
2.2%
11 3
6.5%
8 2
4.3%
7 3
6.5%

QT_CONC_DIURNO
Real number (ℝ)

Distinct18
Distinct (%)39.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.108695652
Minimum0
Maximum31
Zeros18
Zeros (%)39.1%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:25.913775image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3.5
Q39
95-th percentile20
Maximum31
Range31
Interquartile range (IQR)9

Descriptive statistics

Standard deviation7.498824385
Coefficient of variation (CV)1.227565558
Kurtosis1.456628662
Mean6.108695652
Median Absolute Deviation (MAD)3.5
Skewness1.329654045
Sum281
Variance56.23236715
MonotonicityNot monotonic
2023-09-16T08:11:26.094794image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 18
39.1%
9 4
 
8.7%
8 3
 
6.5%
1 3
 
6.5%
7 2
 
4.3%
20 2
 
4.3%
4 2
 
4.3%
16 2
 
4.3%
5 1
 
2.2%
18 1
 
2.2%
Other values (8) 8
17.4%
ValueCountFrequency (%)
0 18
39.1%
1 3
 
6.5%
2 1
 
2.2%
3 1
 
2.2%
4 2
 
4.3%
ValueCountFrequency (%)
31 1
2.2%
21 1
2.2%
20 2
4.3%
18 1
2.2%
16 2
4.3%

QT_CONC_NOTURNO
Real number (ℝ)

Distinct11
Distinct (%)23.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.47826087
Minimum0
Maximum29
Zeros31
Zeros (%)67.4%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:26.269435image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q36.5
95-th percentile13
Maximum29
Range29
Interquartile range (IQR)6.5

Descriptive statistics

Standard deviation6.309566389
Coefficient of variation (CV)1.814000337
Kurtosis5.369223473
Mean3.47826087
Median Absolute Deviation (MAD)0
Skewness2.186699351
Sum160
Variance39.81062802
MonotonicityNot monotonic
2023-09-16T08:11:26.441544image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 31
67.4%
9 4
 
8.7%
13 3
 
6.5%
7 1
 
2.2%
1 1
 
2.2%
20 1
 
2.2%
5 1
 
2.2%
8 1
 
2.2%
11 1
 
2.2%
29 1
 
2.2%
ValueCountFrequency (%)
0 31
67.4%
1 1
 
2.2%
4 1
 
2.2%
5 1
 
2.2%
7 1
 
2.2%
ValueCountFrequency (%)
29 1
 
2.2%
20 1
 
2.2%
13 3
6.5%
11 1
 
2.2%
9 4
8.7%

QT_CONC_0_17
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros46
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:26.603160image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-09-16T08:11:26.745507image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%

QT_CONC_18_24
Real number (ℝ)

Distinct12
Distinct (%)26.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.239130435
Minimum0
Maximum16
Zeros12
Zeros (%)26.1%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:26.903294image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.25
median3
Q37
95-th percentile13.75
Maximum16
Range16
Interquartile range (IQR)6.75

Descriptive statistics

Standard deviation4.372564885
Coefficient of variation (CV)1.031476845
Kurtosis0.9833055782
Mean4.239130435
Median Absolute Deviation (MAD)3
Skewness1.191941719
Sum195
Variance19.11932367
MonotonicityNot monotonic
2023-09-16T08:11:27.078778image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 12
26.1%
3 8
17.4%
1 4
 
8.7%
5 4
 
8.7%
7 3
 
6.5%
4 3
 
6.5%
9 3
 
6.5%
2 2
 
4.3%
8 2
 
4.3%
16 2
 
4.3%
Other values (2) 3
 
6.5%
ValueCountFrequency (%)
0 12
26.1%
1 4
 
8.7%
2 2
 
4.3%
3 8
17.4%
4 3
 
6.5%
ValueCountFrequency (%)
16 2
4.3%
15 1
 
2.2%
10 2
4.3%
9 3
6.5%
8 2
4.3%

QT_CONC_25_29
Real number (ℝ)

Distinct11
Distinct (%)23.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.586956522
Minimum0
Maximum17
Zeros13
Zeros (%)28.3%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:27.275521image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q35
95-th percentile10
Maximum17
Range17
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.642807751
Coefficient of variation (CV)1.015570646
Kurtosis3.103640898
Mean3.586956522
Median Absolute Deviation (MAD)3
Skewness1.475534164
Sum165
Variance13.27004831
MonotonicityNot monotonic
2023-09-16T08:11:27.429343image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 13
28.3%
3 8
17.4%
4 7
15.2%
6 5
 
10.9%
1 4
 
8.7%
5 3
 
6.5%
10 2
 
4.3%
12 1
 
2.2%
7 1
 
2.2%
17 1
 
2.2%
ValueCountFrequency (%)
0 13
28.3%
1 4
 
8.7%
3 8
17.4%
4 7
15.2%
5 3
 
6.5%
ValueCountFrequency (%)
17 1
2.2%
12 1
2.2%
10 2
4.3%
8 1
2.2%
7 1
2.2%

QT_CONC_30_34
Real number (ℝ)

Distinct6
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7826086957
Minimum0
Maximum7
Zeros24
Zeros (%)52.2%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:27.624310image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2.75
Maximum7
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.280851166
Coefficient of variation (CV)1.636643157
Kurtosis12.27371105
Mean0.7826086957
Median Absolute Deviation (MAD)0
Skewness3.080413259
Sum36
Variance1.64057971
MonotonicityNot monotonic
2023-09-16T08:11:27.778199image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 24
52.2%
1 16
34.8%
2 3
 
6.5%
7 1
 
2.2%
4 1
 
2.2%
3 1
 
2.2%
ValueCountFrequency (%)
0 24
52.2%
1 16
34.8%
2 3
 
6.5%
3 1
 
2.2%
4 1
 
2.2%
ValueCountFrequency (%)
7 1
 
2.2%
4 1
 
2.2%
3 1
 
2.2%
2 3
 
6.5%
1 16
34.8%

QT_CONC_35_39
Real number (ℝ)

Distinct5
Distinct (%)10.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4130434783
Minimum0
Maximum6
Zeros37
Zeros (%)80.4%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:27.940639image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.1269642
Coefficient of variation (CV)2.728439643
Kurtosis14.95966955
Mean0.4130434783
Median Absolute Deviation (MAD)0
Skewness3.683599373
Sum19
Variance1.270048309
MonotonicityNot monotonic
2023-09-16T08:11:28.081065image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
0 37
80.4%
1 5
 
10.9%
2 2
 
4.3%
6 1
 
2.2%
4 1
 
2.2%
ValueCountFrequency (%)
0 37
80.4%
1 5
 
10.9%
2 2
 
4.3%
4 1
 
2.2%
6 1
 
2.2%
ValueCountFrequency (%)
6 1
 
2.2%
4 1
 
2.2%
2 2
 
4.3%
1 5
 
10.9%
0 37
80.4%

QT_CONC_40_49
Real number (ℝ)

Distinct4
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3913043478
Minimum0
Maximum3
Zeros36
Zeros (%)78.3%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:28.255750image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum3
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8294110593
Coefficient of variation (CV)2.11960604
Kurtosis3.271450076
Mean0.3913043478
Median Absolute Deviation (MAD)0
Skewness2.072676876
Sum18
Variance0.6879227053
MonotonicityNot monotonic
2023-09-16T08:11:28.402222image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 36
78.3%
2 4
 
8.7%
1 4
 
8.7%
3 2
 
4.3%
ValueCountFrequency (%)
0 36
78.3%
1 4
 
8.7%
2 4
 
8.7%
3 2
 
4.3%
ValueCountFrequency (%)
3 2
 
4.3%
2 4
 
8.7%
1 4
 
8.7%
0 36
78.3%

QT_CONC_50_59
Real number (ℝ)

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.152173913
Minimum0
Maximum1
Zeros39
Zeros (%)84.8%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:28.574228image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3631584475
Coefficient of variation (CV)2.386469798
Kurtosis2.09999303
Mean0.152173913
Median Absolute Deviation (MAD)0
Skewness2.002631998
Sum7
Variance0.131884058
MonotonicityNot monotonic
2023-09-16T08:11:28.736048image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 39
84.8%
1 7
 
15.2%
ValueCountFrequency (%)
0 39
84.8%
1 7
 
15.2%
ValueCountFrequency (%)
1 7
 
15.2%
0 39
84.8%

QT_CONC_60_MAIS
Real number (ℝ)

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02173913043
Minimum0
Maximum1
Zeros45
Zeros (%)97.8%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:28.893500image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1474419562
Coefficient of variation (CV)6.782329983
Kurtosis46
Mean0.02173913043
Median Absolute Deviation (MAD)0
Skewness6.782329983
Sum1
Variance0.02173913043
MonotonicityNot monotonic
2023-09-16T08:11:29.044850image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 45
97.8%
1 1
 
2.2%
ValueCountFrequency (%)
0 45
97.8%
1 1
 
2.2%
ValueCountFrequency (%)
1 1
 
2.2%
0 45
97.8%

QT_CONC_BRANCA
Real number (ℝ)

Distinct12
Distinct (%)26.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.152173913
Minimum0
Maximum16
Zeros13
Zeros (%)28.3%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:29.220338image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q35
95-th percentile8.75
Maximum16
Range16
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.729565904
Coefficient of variation (CV)1.183172632
Kurtosis3.517379116
Mean3.152173913
Median Absolute Deviation (MAD)2
Skewness1.7479371
Sum145
Variance13.90966184
MonotonicityNot monotonic
2023-09-16T08:11:29.378014image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 13
28.3%
1 8
17.4%
2 6
13.0%
6 5
 
10.9%
4 4
 
8.7%
3 2
 
4.3%
8 2
 
4.3%
5 2
 
4.3%
9 1
 
2.2%
16 1
 
2.2%
Other values (2) 2
 
4.3%
ValueCountFrequency (%)
0 13
28.3%
1 8
17.4%
2 6
13.0%
3 2
 
4.3%
4 4
 
8.7%
ValueCountFrequency (%)
16 1
2.2%
15 1
2.2%
9 1
2.2%
8 2
4.3%
7 1
2.2%

QT_CONC_PRETA
Real number (ℝ)

Distinct6
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.173913043
Minimum0
Maximum9
Zeros18
Zeros (%)39.1%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:29.570255image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile3.75
Maximum9
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.595888437
Coefficient of variation (CV)1.35946052
Kurtosis12.20963877
Mean1.173913043
Median Absolute Deviation (MAD)1
Skewness2.926327629
Sum54
Variance2.546859903
MonotonicityNot monotonic
2023-09-16T08:11:29.719252image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 18
39.1%
1 15
32.6%
2 8
17.4%
4 2
 
4.3%
3 2
 
4.3%
9 1
 
2.2%
ValueCountFrequency (%)
0 18
39.1%
1 15
32.6%
2 8
17.4%
3 2
 
4.3%
4 2
 
4.3%
ValueCountFrequency (%)
9 1
 
2.2%
4 2
 
4.3%
3 2
 
4.3%
2 8
17.4%
1 15
32.6%

QT_CONC_PARDA
Real number (ℝ)

Distinct14
Distinct (%)30.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5
Minimum0
Maximum20
Zeros11
Zeros (%)23.9%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:29.883729image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q38
95-th percentile14
Maximum20
Range20
Interquartile range (IQR)7

Descriptive statistics

Standard deviation4.844240567
Coefficient of variation (CV)0.9688481133
Kurtosis0.738376154
Mean5
Median Absolute Deviation (MAD)4
Skewness1.023889904
Sum230
Variance23.46666667
MonotonicityNot monotonic
2023-09-16T08:11:30.081400image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 11
23.9%
6 5
10.9%
1 4
 
8.7%
9 4
 
8.7%
3 4
 
8.7%
5 4
 
8.7%
14 3
 
6.5%
4 3
 
6.5%
2 2
 
4.3%
8 2
 
4.3%
Other values (4) 4
 
8.7%
ValueCountFrequency (%)
0 11
23.9%
1 4
 
8.7%
2 2
 
4.3%
3 4
 
8.7%
4 3
 
6.5%
ValueCountFrequency (%)
20 1
 
2.2%
14 3
6.5%
13 1
 
2.2%
11 1
 
2.2%
10 1
 
2.2%

QT_CONC_AMARELA
Real number (ℝ)

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.152173913
Minimum0
Maximum1
Zeros39
Zeros (%)84.8%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:30.275125image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3631584475
Coefficient of variation (CV)2.386469798
Kurtosis2.09999303
Mean0.152173913
Median Absolute Deviation (MAD)0
Skewness2.002631998
Sum7
Variance0.131884058
MonotonicityNot monotonic
2023-09-16T08:11:30.654135image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 39
84.8%
1 7
 
15.2%
ValueCountFrequency (%)
0 39
84.8%
1 7
 
15.2%
ValueCountFrequency (%)
1 7
 
15.2%
0 39
84.8%

QT_CONC_INDIGENA
Real number (ℝ)

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0652173913
Minimum0
Maximum1
Zeros43
Zeros (%)93.5%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:30.804063image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.75
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2496374182
Coefficient of variation (CV)3.827773746
Kurtosis11.77196519
Mean0.0652173913
Median Absolute Deviation (MAD)0
Skewness3.641645213
Sum3
Variance0.06231884058
MonotonicityNot monotonic
2023-09-16T08:11:30.963907image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 43
93.5%
1 3
 
6.5%
ValueCountFrequency (%)
0 43
93.5%
1 3
 
6.5%
ValueCountFrequency (%)
1 3
 
6.5%
0 43
93.5%

QT_CONC_CORND
Real number (ℝ)

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04347826087
Minimum0
Maximum1
Zeros44
Zeros (%)95.7%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:31.121095image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2061845709
Coefficient of variation (CV)4.742245132
Kurtosis20.31508264
Mean0.04347826087
Median Absolute Deviation (MAD)0
Skewness4.62956782
Sum2
Variance0.04251207729
MonotonicityNot monotonic
2023-09-16T08:11:31.268881image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 44
95.7%
1 2
 
4.3%
ValueCountFrequency (%)
0 44
95.7%
1 2
 
4.3%
ValueCountFrequency (%)
1 2
 
4.3%
0 44
95.7%

QT_ING_NACBRAS
Real number (ℝ)

Distinct36
Distinct (%)78.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean75.13043478
Minimum0
Maximum155
Zeros2
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:31.467064image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile25.5
Q160
median74.5
Q387.25
95-th percentile121.25
Maximum155
Range155
Interquartile range (IQR)27.25

Descriptive statistics

Standard deviation31.27839773
Coefficient of variation (CV)0.416321266
Kurtosis0.7342868434
Mean75.13043478
Median Absolute Deviation (MAD)14.5
Skewness-0.03474377963
Sum3456
Variance978.3381643
MonotonicityNot monotonic
2023-09-16T08:11:31.690451image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
60 4
 
8.7%
114 2
 
4.3%
74 2
 
4.3%
75 2
 
4.3%
0 2
 
4.3%
85 2
 
4.3%
76 2
 
4.3%
119 2
 
4.3%
22 1
 
2.2%
70 1
 
2.2%
Other values (26) 26
56.5%
ValueCountFrequency (%)
0 2
4.3%
22 1
2.2%
36 1
2.2%
37 1
2.2%
42 1
2.2%
ValueCountFrequency (%)
155 1
2.2%
130 1
2.2%
122 1
2.2%
119 2
4.3%
114 2
4.3%

QT_ING_NACESTRANG
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros46
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:31.883876image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-09-16T08:11:32.021001image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%

QT_MAT_NACBRAS
Real number (ℝ)

Distinct43
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean280.4347826
Minimum1
Maximum709
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:32.217061image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile55.5
Q1217
median285
Q3371
95-th percentile471.5
Maximum709
Range708
Interquartile range (IQR)154

Descriptive statistics

Standard deviation141.6109933
Coefficient of variation (CV)0.5049694336
Kurtosis1.127116559
Mean280.4347826
Median Absolute Deviation (MAD)70.5
Skewness0.3830038605
Sum12900
Variance20053.67343
MonotonicityNot monotonic
2023-09-16T08:11:32.447242image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
304 2
 
4.3%
303 2
 
4.3%
215 2
 
4.3%
123 1
 
2.2%
599 1
 
2.2%
244 1
 
2.2%
258 1
 
2.2%
238 1
 
2.2%
378 1
 
2.2%
394 1
 
2.2%
Other values (33) 33
71.7%
ValueCountFrequency (%)
1 1
2.2%
10 1
2.2%
50 1
2.2%
72 1
2.2%
86 1
2.2%
ValueCountFrequency (%)
709 1
2.2%
599 1
2.2%
482 1
2.2%
440 1
2.2%
436 1
2.2%

QT_MAT_NACESTRANG
Real number (ℝ)

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08695652174
Minimum0
Maximum1
Zeros42
Zeros (%)91.3%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:32.647038image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2848849246
Coefficient of variation (CV)3.276176633
Kurtosis7.515289943
Mean0.08695652174
Median Absolute Deviation (MAD)0
Skewness3.03152708
Sum4
Variance0.08115942029
MonotonicityNot monotonic
2023-09-16T08:11:32.844426image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 42
91.3%
1 4
 
8.7%
ValueCountFrequency (%)
0 42
91.3%
1 4
 
8.7%
ValueCountFrequency (%)
1 4
 
8.7%
0 42
91.3%

QT_CONC_NACBRAS
Real number (ℝ)

Distinct21
Distinct (%)45.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.586956522
Minimum0
Maximum40
Zeros9
Zeros (%)19.6%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:33.036667image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.25
median9
Q313.75
95-th percentile27.25
Maximum40
Range40
Interquartile range (IQR)12.5

Descriptive statistics

Standard deviation9.134978166
Coefficient of variation (CV)0.9528548654
Kurtosis1.804340325
Mean9.586956522
Median Absolute Deviation (MAD)7
Skewness1.237950355
Sum441
Variance83.44782609
MonotonicityNot monotonic
2023-09-16T08:11:33.236218image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 9
19.6%
9 7
15.2%
13 4
 
8.7%
4 3
 
6.5%
1 3
 
6.5%
16 3
 
6.5%
8 2
 
4.3%
7 2
 
4.3%
14 1
 
2.2%
17 1
 
2.2%
Other values (11) 11
23.9%
ValueCountFrequency (%)
0 9
19.6%
1 3
 
6.5%
2 1
 
2.2%
3 1
 
2.2%
4 3
 
6.5%
ValueCountFrequency (%)
40 1
2.2%
31 1
2.2%
29 1
2.2%
22 1
2.2%
21 1
2.2%

QT_CONC_NACESTRANG
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros46
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:33.433468image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-09-16T08:11:33.596515image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%

QT_ALUNO_DEFICIENTE
Real number (ℝ)

Distinct16
Distinct (%)34.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.195652174
Minimum0
Maximum22
Zeros8
Zeros (%)17.4%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:33.766259image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q37
95-th percentile14
Maximum22
Range22
Interquartile range (IQR)6

Descriptive statistics

Standard deviation5.009411432
Coefficient of variation (CV)0.9641545016
Kurtosis1.564451774
Mean5.195652174
Median Absolute Deviation (MAD)3
Skewness1.247458452
Sum239
Variance25.0942029
MonotonicityNot monotonic
2023-09-16T08:11:33.933869image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 8
17.4%
2 5
10.9%
1 5
10.9%
4 5
10.9%
7 4
8.7%
6 3
 
6.5%
5 3
 
6.5%
8 2
 
4.3%
14 2
 
4.3%
13 2
 
4.3%
Other values (6) 7
15.2%
ValueCountFrequency (%)
0 8
17.4%
1 5
10.9%
2 5
10.9%
3 2
 
4.3%
4 5
10.9%
ValueCountFrequency (%)
22 1
2.2%
15 1
2.2%
14 2
4.3%
13 2
4.3%
11 1
2.2%

QT_ING_DEFICIENTE
Real number (ℝ)

Distinct4
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8913043478
Minimum0
Maximum3
Zeros22
Zeros (%)47.8%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:34.098274image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile3
Maximum3
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.016054698
Coefficient of variation (CV)1.139963808
Kurtosis-0.6716560421
Mean0.8913043478
Median Absolute Deviation (MAD)1
Skewness0.7576494144
Sum41
Variance1.03236715
MonotonicityNot monotonic
2023-09-16T08:11:34.236019image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 22
47.8%
1 11
23.9%
2 9
19.6%
3 4
 
8.7%
ValueCountFrequency (%)
0 22
47.8%
1 11
23.9%
2 9
19.6%
3 4
 
8.7%
ValueCountFrequency (%)
3 4
 
8.7%
2 9
19.6%
1 11
23.9%
0 22
47.8%

QT_MAT_DEFICIENTE
Real number (ℝ)

Distinct13
Distinct (%)28.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.282608696
Minimum0
Maximum19
Zeros10
Zeros (%)21.7%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:34.418610image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q35.75
95-th percentile12.75
Maximum19
Range19
Interquartile range (IQR)4.75

Descriptive statistics

Standard deviation4.390206492
Coefficient of variation (CV)1.025124359
Kurtosis1.673130193
Mean4.282608696
Median Absolute Deviation (MAD)3
Skewness1.316961612
Sum197
Variance19.27391304
MonotonicityNot monotonic
2023-09-16T08:11:34.589467image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 10
21.7%
1 6
13.0%
5 6
13.0%
4 6
13.0%
2 5
10.9%
7 3
 
6.5%
13 2
 
4.3%
9 2
 
4.3%
11 2
 
4.3%
12 1
 
2.2%
Other values (3) 3
 
6.5%
ValueCountFrequency (%)
0 10
21.7%
1 6
13.0%
2 5
10.9%
3 1
 
2.2%
4 6
13.0%
ValueCountFrequency (%)
19 1
2.2%
13 2
4.3%
12 1
2.2%
11 2
4.3%
9 2
4.3%

QT_CONC_DEFICIENTE
Real number (ℝ)

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02173913043
Minimum0
Maximum1
Zeros45
Zeros (%)97.8%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:34.769328image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1474419562
Coefficient of variation (CV)6.782329983
Kurtosis46
Mean0.02173913043
Median Absolute Deviation (MAD)0
Skewness6.782329983
Sum1
Variance0.02173913043
MonotonicityNot monotonic
2023-09-16T08:11:34.923787image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 45
97.8%
1 1
 
2.2%
ValueCountFrequency (%)
0 45
97.8%
1 1
 
2.2%
ValueCountFrequency (%)
1 1
 
2.2%
0 45
97.8%

QT_ING_FINANC
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros46
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:35.086036image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-09-16T08:11:35.216299image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%

QT_ING_FINANC_REEMB
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros46
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:35.382845image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-09-16T08:11:35.517712image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%

QT_ING_FIES
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros46
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:35.669396image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-09-16T08:11:35.819806image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%

QT_ING_RPFIES
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros46
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:35.974372image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-09-16T08:11:36.114560image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%

QT_ING_FINANC_REEMB_OUTROS
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros46
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:36.268900image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-09-16T08:11:36.417071image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%

QT_ING_FINANC_NREEMB
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros46
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:36.565667image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-09-16T08:11:36.705643image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%

QT_ING_PROUNII
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros46
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:36.853638image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-09-16T08:11:37.003385image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%

QT_ING_PROUNIP
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros46
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:37.153842image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-09-16T08:11:37.297810image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%

QT_ING_NRPFIES
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros46
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:37.435516image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-09-16T08:11:37.583456image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%

QT_ING_FINANC_NREEMB_OUTROS
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros46
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:37.736151image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-09-16T08:11:37.875426image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%

QT_MAT_FINANC
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros46
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:38.034453image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-09-16T08:11:38.169372image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%

QT_MAT_FINANC_REEMB
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros46
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:38.321338image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-09-16T08:11:38.468914image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%

QT_MAT_FIES
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros46
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:38.624970image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-09-16T08:11:38.768297image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%

QT_MAT_RPFIES
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros46
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:38.918450image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-09-16T08:11:39.069203image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%

QT_MAT_FINANC_REEMB_OUTROS
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros46
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:39.216928image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-09-16T08:11:39.359709image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%

QT_MAT_FINANC_NREEMB
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros46
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:39.503968image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-09-16T08:11:39.661009image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%

QT_MAT_PROUNII
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros46
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:39.816162image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-09-16T08:11:39.970843image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%

QT_MAT_PROUNIP
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros46
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:40.123822image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-09-16T08:11:40.272028image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%

QT_MAT_NRPFIES
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros46
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:40.427267image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-09-16T08:11:40.571259image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%

QT_MAT_FINANC_NREEMB_OUTROS
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros46
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:40.936381image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-09-16T08:11:41.076915image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%

QT_CONC_FINANC
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros46
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:41.229728image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-09-16T08:11:41.368746image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%

QT_CONC_FINANC_REEMB
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros46
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:41.518483image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-09-16T08:11:41.652905image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%

QT_CONC_FIES
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros46
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:41.800239image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-09-16T08:11:41.954245image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%

QT_CONC_RPFIES
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros46
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:42.103541image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-09-16T08:11:42.241810image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%

QT_CONC_FINANC_REEMB_OUTROS
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros46
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:42.393790image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-09-16T08:11:42.554263image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%

QT_CONC_FINANC_NREEMB
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros46
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:42.704331image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-09-16T08:11:42.835187image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%

QT_CONC_PROUNII
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros46
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:43.009810image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-09-16T08:11:43.171281image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%

QT_CONC_PROUNIP
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros46
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:43.339989image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-09-16T08:11:43.509048image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%

QT_CONC_NRPFIES
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros46
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:43.662807image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-09-16T08:11:43.813771image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%

QT_CONC_FINANC_NREEMB_OUTROS
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros46
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:43.969993image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-09-16T08:11:44.116106image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%

QT_ING_RESERVA_VAGA
Real number (ℝ)

Distinct19
Distinct (%)41.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.19565217
Minimum0
Maximum95
Zeros5
Zeros (%)10.9%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:44.289552image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median4
Q38
95-th percentile85.25
Maximum95
Range95
Interquartile range (IQR)6

Descriptive statistics

Standard deviation26.85733466
Coefficient of variation (CV)1.658305227
Kurtosis2.837933464
Mean16.19565217
Median Absolute Deviation (MAD)3
Skewness2.026039166
Sum745
Variance721.3164251
MonotonicityNot monotonic
2023-09-16T08:11:44.472572image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
2 7
15.2%
3 7
15.2%
8 6
13.0%
0 5
10.9%
7 3
 
6.5%
4 3
 
6.5%
6 2
 
4.3%
1 2
 
4.3%
11 1
 
2.2%
63 1
 
2.2%
Other values (9) 9
19.6%
ValueCountFrequency (%)
0 5
10.9%
1 2
 
4.3%
2 7
15.2%
3 7
15.2%
4 3
6.5%
ValueCountFrequency (%)
95 1
2.2%
91 1
2.2%
86 1
2.2%
83 1
2.2%
63 1
2.2%

QT_ING_RVREDEPUBLICA
Real number (ℝ)

Distinct17
Distinct (%)37.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.956521739
Minimum0
Maximum52
Zeros9
Zeros (%)19.6%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:44.658386image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q35.75
95-th percentile46.5
Maximum52
Range52
Interquartile range (IQR)4.75

Descriptive statistics

Standard deviation14.58912307
Coefficient of variation (CV)1.628882673
Kurtosis2.78170244
Mean8.956521739
Median Absolute Deviation (MAD)2
Skewness2.015946063
Sum412
Variance212.8425121
MonotonicityNot monotonic
2023-09-16T08:11:44.853164image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 9
19.6%
2 8
17.4%
3 5
10.9%
5 5
10.9%
1 4
8.7%
4 3
 
6.5%
6 2
 
4.3%
7 1
 
2.2%
37 1
 
2.2%
19 1
 
2.2%
Other values (7) 7
15.2%
ValueCountFrequency (%)
0 9
19.6%
1 4
8.7%
2 8
17.4%
3 5
10.9%
4 3
 
6.5%
ValueCountFrequency (%)
52 1
2.2%
48 1
2.2%
47 1
2.2%
45 1
2.2%
37 1
2.2%

QT_ING_RVETNICO
Real number (ℝ)

Distinct16
Distinct (%)34.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.913043478
Minimum0
Maximum31
Zeros11
Zeros (%)23.9%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:45.056685image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q34.75
95-th percentile27.75
Maximum31
Range31
Interquartile range (IQR)3.75

Descriptive statistics

Standard deviation8.879004166
Coefficient of variation (CV)1.501596293
Kurtosis2.184305065
Mean5.913043478
Median Absolute Deviation (MAD)2
Skewness1.847307527
Sum272
Variance78.83671498
MonotonicityNot monotonic
2023-09-16T08:11:45.263960image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 11
23.9%
1 7
15.2%
2 7
15.2%
4 6
13.0%
3 3
 
6.5%
5 2
 
4.3%
20 1
 
2.2%
14 1
 
2.2%
11 1
 
2.2%
18 1
 
2.2%
Other values (6) 6
13.0%
ValueCountFrequency (%)
0 11
23.9%
1 7
15.2%
2 7
15.2%
3 3
 
6.5%
4 6
13.0%
ValueCountFrequency (%)
31 1
2.2%
30 1
2.2%
28 1
2.2%
27 1
2.2%
22 1
2.2%

QT_ING_RVPDEF
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros46
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:45.452741image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-09-16T08:11:45.605743image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%

QT_ING_RVSOCIAL_RF
Real number (ℝ)

Distinct14
Distinct (%)30.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.630434783
Minimum0
Maximum24
Zeros15
Zeros (%)32.6%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:45.768814image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q34
95-th percentile22.5
Maximum24
Range24
Interquartile range (IQR)4

Descriptive statistics

Standard deviation7.128530145
Coefficient of variation (CV)1.539494773
Kurtosis2.060150288
Mean4.630434783
Median Absolute Deviation (MAD)2
Skewness1.834032392
Sum213
Variance50.81594203
MonotonicityNot monotonic
2023-09-16T08:11:45.965035image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 15
32.6%
2 7
15.2%
1 6
 
13.0%
3 4
 
8.7%
4 3
 
6.5%
23 2
 
4.3%
5 2
 
4.3%
17 1
 
2.2%
9 1
 
2.2%
8 1
 
2.2%
Other values (4) 4
 
8.7%
ValueCountFrequency (%)
0 15
32.6%
1 6
 
13.0%
2 7
15.2%
3 4
 
8.7%
4 3
 
6.5%
ValueCountFrequency (%)
24 1
2.2%
23 2
4.3%
21 1
2.2%
20 1
2.2%
17 1
2.2%

QT_ING_RVOUTROS
Real number (ℝ)

Distinct15
Distinct (%)32.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.456521739
Minimum0
Maximum48
Zeros12
Zeros (%)26.1%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:46.152853image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.25
median2
Q35.75
95-th percentile38
Maximum48
Range48
Interquartile range (IQR)5.5

Descriptive statistics

Standard deviation12.36249979
Coefficient of variation (CV)1.657944578
Kurtosis3.108697737
Mean7.456521739
Median Absolute Deviation (MAD)2
Skewness2.033676339
Sum343
Variance152.831401
MonotonicityNot monotonic
2023-09-16T08:11:46.347749image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 12
26.1%
2 8
17.4%
3 6
13.0%
1 5
10.9%
26 2
 
4.3%
38 2
 
4.3%
6 2
 
4.3%
4 2
 
4.3%
24 1
 
2.2%
13 1
 
2.2%
Other values (5) 5
10.9%
ValueCountFrequency (%)
0 12
26.1%
1 5
10.9%
2 8
17.4%
3 6
13.0%
4 2
 
4.3%
ValueCountFrequency (%)
48 1
2.2%
39 1
2.2%
38 2
4.3%
26 2
4.3%
24 1
2.2%

QT_MAT_RESERVA_VAGA
Real number (ℝ)

Distinct26
Distinct (%)56.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.84782609
Minimum0
Maximum143
Zeros2
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:46.546657image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.5
Q15.25
median8.5
Q317.75
95-th percentile121.25
Maximum143
Range143
Interquartile range (IQR)12.5

Descriptive statistics

Standard deviation36.92332439
Coefficient of variation (CV)1.548288899
Kurtosis3.99902655
Mean23.84782609
Median Absolute Deviation (MAD)5.5
Skewness2.263861597
Sum1097
Variance1363.331884
MonotonicityNot monotonic
2023-09-16T08:11:46.756550image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
3 5
 
10.9%
7 5
 
10.9%
10 4
 
8.7%
6 3
 
6.5%
8 3
 
6.5%
0 2
 
4.3%
4 2
 
4.3%
13 2
 
4.3%
15 2
 
4.3%
5 2
 
4.3%
Other values (16) 16
34.8%
ValueCountFrequency (%)
0 2
 
4.3%
1 1
 
2.2%
3 5
10.9%
4 2
 
4.3%
5 2
 
4.3%
ValueCountFrequency (%)
143 1
2.2%
128 1
2.2%
123 1
2.2%
116 1
2.2%
100 1
2.2%

QT_MAT_RVREDEPUBLICA
Real number (ℝ)

Distinct21
Distinct (%)45.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.15217391
Minimum0
Maximum103
Zeros3
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:46.974442image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.25
Q13
median5
Q310.75
95-th percentile77.75
Maximum103
Range103
Interquartile range (IQR)7.75

Descriptive statistics

Standard deviation25.13869739
Coefficient of variation (CV)1.659081894
Kurtosis4.731240098
Mean15.15217391
Median Absolute Deviation (MAD)3
Skewness2.407785005
Sum697
Variance631.9541063
MonotonicityNot monotonic
2023-09-16T08:11:47.176193image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
5 6
13.0%
3 6
13.0%
4 5
10.9%
2 5
10.9%
9 3
 
6.5%
0 3
 
6.5%
14 2
 
4.3%
10 2
 
4.3%
6 2
 
4.3%
1 1
 
2.2%
Other values (11) 11
23.9%
ValueCountFrequency (%)
0 3
6.5%
1 1
 
2.2%
2 5
10.9%
3 6
13.0%
4 5
10.9%
ValueCountFrequency (%)
103 1
2.2%
85 1
2.2%
78 1
2.2%
77 1
2.2%
72 1
2.2%

QT_MAT_RVETNICO
Real number (ℝ)

Distinct19
Distinct (%)41.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.760869565
Minimum0
Maximum63
Zeros4
Zeros (%)8.7%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:47.360647image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median4
Q38.75
95-th percentile45.75
Maximum63
Range63
Interquartile range (IQR)6.75

Descriptive statistics

Standard deviation14.78164745
Coefficient of variation (CV)1.514378136
Kurtosis4.705672946
Mean9.760869565
Median Absolute Deviation (MAD)2.5
Skewness2.351491465
Sum449
Variance218.4971014
MonotonicityNot monotonic
2023-09-16T08:11:47.530064image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
2 10
21.7%
4 5
10.9%
3 5
10.9%
0 4
 
8.7%
7 3
 
6.5%
9 2
 
4.3%
6 2
 
4.3%
45 2
 
4.3%
1 2
 
4.3%
8 2
 
4.3%
Other values (9) 9
19.6%
ValueCountFrequency (%)
0 4
 
8.7%
1 2
 
4.3%
2 10
21.7%
3 5
10.9%
4 5
10.9%
ValueCountFrequency (%)
63 1
2.2%
47 1
2.2%
46 1
2.2%
45 2
4.3%
20 1
2.2%

QT_MAT_RVPDEF
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros46
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:47.716048image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-09-16T08:11:47.852906image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%

QT_MAT_RVSOCIAL_RF
Real number (ℝ)

Distinct17
Distinct (%)37.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.195652174
Minimum0
Maximum48
Zeros6
Zeros (%)13.0%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:48.016425image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q38.5
95-th percentile43
Maximum48
Range48
Interquartile range (IQR)6.5

Descriptive statistics

Standard deviation12.94023796
Coefficient of variation (CV)1.578914977
Kurtosis4.014201009
Mean8.195652174
Median Absolute Deviation (MAD)2
Skewness2.281115403
Sum377
Variance167.4497585
MonotonicityNot monotonic
2023-09-16T08:11:48.217369image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
2 9
19.6%
0 6
13.0%
1 5
10.9%
3 5
10.9%
9 4
8.7%
4 3
 
6.5%
5 3
 
6.5%
6 2
 
4.3%
17 1
 
2.2%
40 1
 
2.2%
Other values (7) 7
15.2%
ValueCountFrequency (%)
0 6
13.0%
1 5
10.9%
2 9
19.6%
3 5
10.9%
4 3
 
6.5%
ValueCountFrequency (%)
48 1
2.2%
45 1
2.2%
44 1
2.2%
40 1
2.2%
39 1
2.2%

QT_MAT_RVOUTROS
Real number (ℝ)

Distinct20
Distinct (%)43.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.304347826
Minimum0
Maximum51
Zeros5
Zeros (%)10.9%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:48.423962image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median5
Q39
95-th percentile38.75
Maximum51
Range51
Interquartile range (IQR)7

Descriptive statistics

Standard deviation12.17806692
Coefficient of variation (CV)1.30885766
Kurtosis3.352533954
Mean9.304347826
Median Absolute Deviation (MAD)3.5
Skewness1.993620295
Sum428
Variance148.305314
MonotonicityNot monotonic
2023-09-16T08:11:48.607350image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
1 5
10.9%
3 5
10.9%
0 5
10.9%
2 4
 
8.7%
5 4
 
8.7%
7 4
 
8.7%
6 3
 
6.5%
12 2
 
4.3%
9 2
 
4.3%
4 2
 
4.3%
Other values (10) 10
21.7%
ValueCountFrequency (%)
0 5
10.9%
1 5
10.9%
2 4
8.7%
3 5
10.9%
4 2
 
4.3%
ValueCountFrequency (%)
51 1
2.2%
40 1
2.2%
39 1
2.2%
38 1
2.2%
28 1
2.2%

QT_CONC_RESERVA_VAGA
Real number (ℝ)

Distinct3
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08695652174
Minimum0
Maximum2
Zeros43
Zeros (%)93.5%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:48.802864image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.75
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3544063554
Coefficient of variation (CV)4.075673087
Kurtosis20.58864981
Mean0.08695652174
Median Absolute Deviation (MAD)0
Skewness4.433692137
Sum4
Variance0.1256038647
MonotonicityNot monotonic
2023-09-16T08:11:48.973931image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 43
93.5%
1 2
 
4.3%
2 1
 
2.2%
ValueCountFrequency (%)
0 43
93.5%
1 2
 
4.3%
2 1
 
2.2%
ValueCountFrequency (%)
2 1
 
2.2%
1 2
 
4.3%
0 43
93.5%

QT_CONC_RVREDEPUBLICA
Real number (ℝ)

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04347826087
Minimum0
Maximum1
Zeros44
Zeros (%)95.7%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:49.157993image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2061845709
Coefficient of variation (CV)4.742245132
Kurtosis20.31508264
Mean0.04347826087
Median Absolute Deviation (MAD)0
Skewness4.62956782
Sum2
Variance0.04251207729
MonotonicityNot monotonic
2023-09-16T08:11:49.310975image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 44
95.7%
1 2
 
4.3%
ValueCountFrequency (%)
0 44
95.7%
1 2
 
4.3%
ValueCountFrequency (%)
1 2
 
4.3%
0 44
95.7%

QT_CONC_RVETNICO
Real number (ℝ)

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04347826087
Minimum0
Maximum1
Zeros44
Zeros (%)95.7%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:49.474352image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2061845709
Coefficient of variation (CV)4.742245132
Kurtosis20.31508264
Mean0.04347826087
Median Absolute Deviation (MAD)0
Skewness4.62956782
Sum2
Variance0.04251207729
MonotonicityNot monotonic
2023-09-16T08:11:49.636898image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 44
95.7%
1 2
 
4.3%
ValueCountFrequency (%)
0 44
95.7%
1 2
 
4.3%
ValueCountFrequency (%)
1 2
 
4.3%
0 44
95.7%

QT_CONC_RVPDEF
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros46
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:49.806939image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-09-16T08:11:49.934983image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%

QT_CONC_RVSOCIAL_RF
Real number (ℝ)

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02173913043
Minimum0
Maximum1
Zeros45
Zeros (%)97.8%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:50.102774image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1474419562
Coefficient of variation (CV)6.782329983
Kurtosis46
Mean0.02173913043
Median Absolute Deviation (MAD)0
Skewness6.782329983
Sum1
Variance0.02173913043
MonotonicityNot monotonic
2023-09-16T08:11:50.261093image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 45
97.8%
1 1
 
2.2%
ValueCountFrequency (%)
0 45
97.8%
1 1
 
2.2%
ValueCountFrequency (%)
1 1
 
2.2%
0 45
97.8%

QT_CONC_RVOUTROS
Real number (ℝ)

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04347826087
Minimum0
Maximum1
Zeros44
Zeros (%)95.7%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:50.424731image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2061845709
Coefficient of variation (CV)4.742245132
Kurtosis20.31508264
Mean0.04347826087
Median Absolute Deviation (MAD)0
Skewness4.62956782
Sum2
Variance0.04251207729
MonotonicityNot monotonic
2023-09-16T08:11:50.584979image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 44
95.7%
1 2
 
4.3%
ValueCountFrequency (%)
0 44
95.7%
1 2
 
4.3%
ValueCountFrequency (%)
1 2
 
4.3%
0 44
95.7%

QT_SIT_TRANCADA
Real number (ℝ)

Distinct18
Distinct (%)39.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.956521739
Minimum0
Maximum19
Zeros8
Zeros (%)17.4%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:50.752755image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median4.5
Q39
95-th percentile16.75
Maximum19
Range19
Interquartile range (IQR)7

Descriptive statistics

Standard deviation5.436324419
Coefficient of variation (CV)0.9126676032
Kurtosis-0.0527022614
Mean5.956521739
Median Absolute Deviation (MAD)3.5
Skewness0.8646478899
Sum274
Variance29.55362319
MonotonicityNot monotonic
2023-09-16T08:11:51.144456image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 8
17.4%
2 6
13.0%
9 4
8.7%
6 4
8.7%
1 3
 
6.5%
4 3
 
6.5%
8 3
 
6.5%
3 3
 
6.5%
10 2
 
4.3%
19 2
 
4.3%
Other values (8) 8
17.4%
ValueCountFrequency (%)
0 8
17.4%
1 3
 
6.5%
2 6
13.0%
3 3
 
6.5%
4 3
 
6.5%
ValueCountFrequency (%)
19 2
4.3%
17 1
2.2%
16 1
2.2%
15 1
2.2%
13 1
2.2%

QT_SIT_DESVINCULADO
Real number (ℝ)

Distinct40
Distinct (%)87.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean53.56521739
Minimum0
Maximum111
Zeros2
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:51.370326image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.75
Q136.75
median54
Q372
95-th percentile92.75
Maximum111
Range111
Interquartile range (IQR)35.25

Descriptive statistics

Standard deviation27.87563825
Coefficient of variation (CV)0.5204055842
Kurtosis-0.4270872903
Mean53.56521739
Median Absolute Deviation (MAD)18.5
Skewness-0.1584187536
Sum2464
Variance777.0512077
MonotonicityNot monotonic
2023-09-16T08:11:51.586834image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
67 2
 
4.3%
0 2
 
4.3%
69 2
 
4.3%
76 2
 
4.3%
54 2
 
4.3%
65 2
 
4.3%
26 1
 
2.2%
75 1
 
2.2%
68 1
 
2.2%
23 1
 
2.2%
Other values (30) 30
65.2%
ValueCountFrequency (%)
0 2
4.3%
3 1
2.2%
10 1
2.2%
12 1
2.2%
13 1
2.2%
ValueCountFrequency (%)
111 1
2.2%
110 1
2.2%
94 1
2.2%
89 1
2.2%
87 1
2.2%

QT_SIT_TRANSFERIDO
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros46
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:51.774551image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-09-16T08:11:51.923130image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%

QT_SIT_FALECIDO
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros46
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:52.071633image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-09-16T08:11:52.204062image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%

QT_ING_PROCESCPUBLICA
Real number (ℝ)

Distinct25
Distinct (%)54.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.95652174
Minimum0
Maximum102
Zeros2
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:52.386380image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.25
Q15
median9
Q316.75
95-th percentile88.25
Maximum102
Range102
Interquartile range (IQR)11.75

Descriptive statistics

Standard deviation27.46792596
Coefficient of variation (CV)1.376388447
Kurtosis2.925072802
Mean19.95652174
Median Absolute Deviation (MAD)5
Skewness2.026949325
Sum918
Variance754.4869565
MonotonicityNot monotonic
2023-09-16T08:11:52.585026image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
4 6
 
13.0%
10 5
 
10.9%
7 3
 
6.5%
5 3
 
6.5%
9 3
 
6.5%
6 3
 
6.5%
18 2
 
4.3%
8 2
 
4.3%
11 2
 
4.3%
0 2
 
4.3%
Other values (15) 15
32.6%
ValueCountFrequency (%)
0 2
 
4.3%
1 1
 
2.2%
2 1
 
2.2%
4 6
13.0%
5 3
6.5%
ValueCountFrequency (%)
102 1
2.2%
98 1
2.2%
89 1
2.2%
86 1
2.2%
72 1
2.2%

QT_ING_PROCESCPRIVADA
Real number (ℝ)

Distinct37
Distinct (%)80.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean55.17391304
Minimum0
Maximum142
Zeros2
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:52.804308image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q131
median58
Q375
95-th percentile102.5
Maximum142
Range142
Interquartile range (IQR)44

Descriptive statistics

Standard deviation30.5914326
Coefficient of variation (CV)0.5544546493
Kurtosis0.2843834777
Mean55.17391304
Median Absolute Deviation (MAD)18.5
Skewness0.2277076951
Sum2538
Variance935.8357488
MonotonicityNot monotonic
2023-09-16T08:11:53.003020image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
75 3
 
6.5%
58 3
 
6.5%
78 3
 
6.5%
56 2
 
4.3%
0 2
 
4.3%
41 2
 
4.3%
54 1
 
2.2%
66 1
 
2.2%
79 1
 
2.2%
112 1
 
2.2%
Other values (27) 27
58.7%
ValueCountFrequency (%)
0 2
4.3%
7 1
2.2%
11 1
2.2%
14 1
2.2%
16 1
2.2%
ValueCountFrequency (%)
142 1
2.2%
112 1
2.2%
104 1
2.2%
98 1
2.2%
90 1
2.2%

QT_ING_PROCNAOINFORMADA
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros46
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:53.202759image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-09-16T08:11:53.376591image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%

QT_MAT_PROCESCPUBLICA
Real number (ℝ)

Distinct28
Distinct (%)60.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.08695652
Minimum0
Maximum163
Zeros2
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:53.549866image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q112
median16.5
Q332
95-th percentile147.25
Maximum163
Range163
Interquartile range (IQR)20

Descriptive statistics

Standard deviation43.65461721
Coefficient of variation (CV)1.244183638
Kurtosis2.928529169
Mean35.08695652
Median Absolute Deviation (MAD)7.5
Skewness2.007725917
Sum1614
Variance1905.725604
MonotonicityNot monotonic
2023-09-16T08:11:53.744349image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
17 4
 
8.7%
13 3
 
6.5%
32 3
 
6.5%
15 3
 
6.5%
6 3
 
6.5%
12 3
 
6.5%
0 2
 
4.3%
9 2
 
4.3%
16 2
 
4.3%
21 2
 
4.3%
Other values (18) 19
41.3%
ValueCountFrequency (%)
0 2
4.3%
6 3
6.5%
8 1
 
2.2%
9 2
4.3%
10 2
4.3%
ValueCountFrequency (%)
163 1
2.2%
155 1
2.2%
150 1
2.2%
139 1
2.2%
133 1
2.2%

QT_MAT_PROCESCPRIVADA
Real number (ℝ)

Distinct43
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean245.3478261
Minimum1
Maximum677
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:53.998322image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile24.25
Q1200.75
median236.5
Q3311.75
95-th percentile429.75
Maximum677
Range676
Interquartile range (IQR)111

Descriptive statistics

Standard deviation139.5356135
Coefficient of variation (CV)0.5687256975
Kurtosis1.281136732
Mean245.3478261
Median Absolute Deviation (MAD)70
Skewness0.4934591457
Sum11286
Variance19470.18744
MonotonicityNot monotonic
2023-09-16T08:11:54.221052image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
41 2
 
4.3%
209 2
 
4.3%
398 2
 
4.3%
567 1
 
2.2%
156 1
 
2.2%
220 1
 
2.2%
288 1
 
2.2%
241 1
 
2.2%
233 1
 
2.2%
369 1
 
2.2%
Other values (33) 33
71.7%
ValueCountFrequency (%)
1 1
2.2%
10 1
2.2%
21 1
2.2%
34 1
2.2%
35 1
2.2%
ValueCountFrequency (%)
677 1
2.2%
567 1
2.2%
438 1
2.2%
405 1
2.2%
398 2
4.3%

QT_MAT_PROCNAOINFORMADA
Real number (ℝ)

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08695652174
Minimum0
Maximum1
Zeros42
Zeros (%)91.3%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:54.424778image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2848849246
Coefficient of variation (CV)3.276176633
Kurtosis7.515289943
Mean0.08695652174
Median Absolute Deviation (MAD)0
Skewness3.03152708
Sum4
Variance0.08115942029
MonotonicityNot monotonic
2023-09-16T08:11:54.573671image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 42
91.3%
1 4
 
8.7%
ValueCountFrequency (%)
0 42
91.3%
1 4
 
8.7%
ValueCountFrequency (%)
1 4
 
8.7%
0 42
91.3%

QT_CONC_PROCESCPUBLICA
Real number (ℝ)

Distinct10
Distinct (%)21.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.760869565
Minimum0
Maximum14
Zeros24
Zeros (%)52.2%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:54.753795image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile7.75
Maximum14
Range14
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.937760164
Coefficient of variation (CV)1.668357624
Kurtosis6.35183476
Mean1.760869565
Median Absolute Deviation (MAD)0
Skewness2.367973313
Sum81
Variance8.630434783
MonotonicityNot monotonic
2023-09-16T08:11:54.911174image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 24
52.2%
1 7
 
15.2%
2 4
 
8.7%
3 3
 
6.5%
5 3
 
6.5%
4 1
 
2.2%
7 1
 
2.2%
14 1
 
2.2%
8 1
 
2.2%
9 1
 
2.2%
ValueCountFrequency (%)
0 24
52.2%
1 7
 
15.2%
2 4
 
8.7%
3 3
 
6.5%
4 1
 
2.2%
ValueCountFrequency (%)
14 1
 
2.2%
9 1
 
2.2%
8 1
 
2.2%
7 1
 
2.2%
5 3
6.5%

QT_CONC_PROCESCPRIVADA
Real number (ℝ)

Distinct19
Distinct (%)41.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.804347826
Minimum0
Maximum38
Zeros10
Zeros (%)21.7%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:55.101060image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median6.5
Q312.5
95-th percentile21.75
Maximum38
Range38
Interquartile range (IQR)11.5

Descriptive statistics

Standard deviation8.386813897
Coefficient of variation (CV)1.074633536
Kurtosis2.892426457
Mean7.804347826
Median Absolute Deviation (MAD)5.5
Skewness1.546119628
Sum359
Variance70.33864734
MonotonicityNot monotonic
2023-09-16T08:11:55.286751image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 10
21.7%
8 5
10.9%
2 3
 
6.5%
1 3
 
6.5%
3 3
 
6.5%
4 3
 
6.5%
13 3
 
6.5%
7 2
 
4.3%
15 2
 
4.3%
9 2
 
4.3%
Other values (9) 10
21.7%
ValueCountFrequency (%)
0 10
21.7%
1 3
 
6.5%
2 3
 
6.5%
3 3
 
6.5%
4 3
 
6.5%
ValueCountFrequency (%)
38 1
2.2%
29 1
2.2%
22 1
2.2%
21 1
2.2%
20 1
2.2%

QT_CONC_PROCNAOINFORMADA
Real number (ℝ)

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02173913043
Minimum0
Maximum1
Zeros45
Zeros (%)97.8%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:55.477730image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1474419562
Coefficient of variation (CV)6.782329983
Kurtosis46
Mean0.02173913043
Median Absolute Deviation (MAD)0
Skewness6.782329983
Sum1
Variance0.02173913043
MonotonicityNot monotonic
2023-09-16T08:11:55.624058image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 45
97.8%
1 1
 
2.2%
ValueCountFrequency (%)
0 45
97.8%
1 1
 
2.2%
ValueCountFrequency (%)
1 1
 
2.2%
0 45
97.8%

QT_PARFOR
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros46
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:55.784147image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-09-16T08:11:55.933685image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%

QT_ING_PARFOR
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros46
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:56.070754image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-09-16T08:11:56.223672image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%

QT_MAT_PARFOR
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros46
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:56.369558image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-09-16T08:11:56.517406image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%

QT_CONC_PARFOR
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros46
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:56.669510image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-09-16T08:11:56.803479image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%

QT_APOIO_SOCIAL
Real number (ℝ)

Distinct33
Distinct (%)71.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.52173913
Minimum0
Maximum60
Zeros7
Zeros (%)15.2%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:56.988350image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14.25
median13.5
Q328.5
95-th percentile46.75
Maximum60
Range60
Interquartile range (IQR)24.25

Descriptive statistics

Standard deviation15.6187055
Coefficient of variation (CV)0.8913901399
Kurtosis-0.09476307637
Mean17.52173913
Median Absolute Deviation (MAD)11
Skewness0.8150594649
Sum806
Variance243.9439614
MonotonicityNot monotonic
2023-09-16T08:11:57.204801image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
0 7
 
15.2%
3 3
 
6.5%
9 3
 
6.5%
14 2
 
4.3%
10 2
 
4.3%
32 2
 
4.3%
38 1
 
2.2%
22 1
 
2.2%
60 1
 
2.2%
26 1
 
2.2%
Other values (23) 23
50.0%
ValueCountFrequency (%)
0 7
15.2%
2 1
 
2.2%
3 3
6.5%
4 1
 
2.2%
5 1
 
2.2%
ValueCountFrequency (%)
60 1
2.2%
49 1
2.2%
48 1
2.2%
43 1
2.2%
42 1
2.2%

QT_ING_APOIO_SOCIAL
Real number (ℝ)

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04347826087
Minimum0
Maximum1
Zeros44
Zeros (%)95.7%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:57.383121image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2061845709
Coefficient of variation (CV)4.742245132
Kurtosis20.31508264
Mean0.04347826087
Median Absolute Deviation (MAD)0
Skewness4.62956782
Sum2
Variance0.04251207729
MonotonicityNot monotonic
2023-09-16T08:11:57.669930image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 44
95.7%
1 2
 
4.3%
ValueCountFrequency (%)
0 44
95.7%
1 2
 
4.3%
ValueCountFrequency (%)
1 2
 
4.3%
0 44
95.7%

QT_MAT_APOIO_SOCIAL
Real number (ℝ)

Distinct30
Distinct (%)65.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.26086957
Minimum0
Maximum55
Zeros7
Zeros (%)15.2%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:57.869444image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14.25
median12.5
Q326
95-th percentile42.25
Maximum55
Range55
Interquartile range (IQR)21.75

Descriptive statistics

Standard deviation14.30840434
Coefficient of variation (CV)0.8799286092
Kurtosis-0.1829143369
Mean16.26086957
Median Absolute Deviation (MAD)10
Skewness0.7830679451
Sum748
Variance204.7304348
MonotonicityNot monotonic
2023-09-16T08:11:58.070193image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
0 7
 
15.2%
9 4
 
8.7%
3 3
 
6.5%
26 2
 
4.3%
29 2
 
4.3%
7 2
 
4.3%
19 2
 
4.3%
37 2
 
4.3%
13 1
 
2.2%
27 1
 
2.2%
Other values (20) 20
43.5%
ValueCountFrequency (%)
0 7
15.2%
2 1
 
2.2%
3 3
6.5%
4 1
 
2.2%
5 1
 
2.2%
ValueCountFrequency (%)
55 1
2.2%
44 1
2.2%
43 1
2.2%
40 1
2.2%
37 2
4.3%

QT_CONC_APOIO_SOCIAL
Real number (ℝ)

Distinct9
Distinct (%)19.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.804347826
Minimum0
Maximum10
Zeros25
Zeros (%)54.3%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:58.305136image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32.75
95-th percentile8.25
Maximum10
Range10
Interquartile range (IQR)2.75

Descriptive statistics

Standard deviation2.809662417
Coefficient of variation (CV)1.557162304
Kurtosis1.522713918
Mean1.804347826
Median Absolute Deviation (MAD)0
Skewness1.591960222
Sum83
Variance7.894202899
MonotonicityNot monotonic
2023-09-16T08:11:58.502107image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 25
54.3%
1 7
 
15.2%
6 4
 
8.7%
3 2
 
4.3%
2 2
 
4.3%
5 2
 
4.3%
9 2
 
4.3%
4 1
 
2.2%
10 1
 
2.2%
ValueCountFrequency (%)
0 25
54.3%
1 7
 
15.2%
2 2
 
4.3%
3 2
 
4.3%
4 1
 
2.2%
ValueCountFrequency (%)
10 1
 
2.2%
9 2
4.3%
6 4
8.7%
5 2
4.3%
4 1
 
2.2%

QT_ATIV_EXTRACURRICULAR
Real number (ℝ)

Distinct25
Distinct (%)54.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.45652174
Minimum0
Maximum49
Zeros4
Zeros (%)8.7%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:58.714649image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median8.5
Q316.25
95-th percentile35
Maximum49
Range49
Interquartile range (IQR)13.25

Descriptive statistics

Standard deviation11.36604401
Coefficient of variation (CV)0.9921025135
Kurtosis2.076671375
Mean11.45652174
Median Absolute Deviation (MAD)5.5
Skewness1.482924525
Sum527
Variance129.1869565
MonotonicityNot monotonic
2023-09-16T08:11:58.936659image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
8 4
 
8.7%
10 4
 
8.7%
3 4
 
8.7%
0 4
 
8.7%
1 3
 
6.5%
2 3
 
6.5%
13 2
 
4.3%
17 2
 
4.3%
4 2
 
4.3%
6 2
 
4.3%
Other values (15) 16
34.8%
ValueCountFrequency (%)
0 4
8.7%
1 3
6.5%
2 3
6.5%
3 4
8.7%
4 2
4.3%
ValueCountFrequency (%)
49 1
2.2%
40 1
2.2%
36 1
2.2%
32 1
2.2%
26 1
2.2%
Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02173913043
Minimum0
Maximum1
Zeros45
Zeros (%)97.8%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:59.149729image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1474419562
Coefficient of variation (CV)6.782329983
Kurtosis46
Mean0.02173913043
Median Absolute Deviation (MAD)0
Skewness6.782329983
Sum1
Variance0.02173913043
MonotonicityNot monotonic
2023-09-16T08:11:59.318498image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 45
97.8%
1 1
 
2.2%
ValueCountFrequency (%)
0 45
97.8%
1 1
 
2.2%
ValueCountFrequency (%)
1 1
 
2.2%
0 45
97.8%
Distinct24
Distinct (%)52.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.19565217
Minimum0
Maximum49
Zeros4
Zeros (%)8.7%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:11:59.527267image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12.25
median8
Q315.25
95-th percentile34.25
Maximum49
Range49
Interquartile range (IQR)13

Descriptive statistics

Standard deviation11.35022186
Coefficient of variation (CV)1.013806224
Kurtosis2.17823587
Mean11.19565217
Median Absolute Deviation (MAD)6
Skewness1.517021281
Sum515
Variance128.8275362
MonotonicityNot monotonic
2023-09-16T08:11:59.996251image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
2 5
 
10.9%
8 5
 
10.9%
10 4
 
8.7%
0 4
 
8.7%
1 3
 
6.5%
4 3
 
6.5%
11 3
 
6.5%
3 2
 
4.3%
13 2
 
4.3%
5 1
 
2.2%
Other values (14) 14
30.4%
ValueCountFrequency (%)
0 4
8.7%
1 3
6.5%
2 5
10.9%
3 2
 
4.3%
4 3
6.5%
ValueCountFrequency (%)
49 1
2.2%
40 1
2.2%
35 1
2.2%
32 1
2.2%
26 1
2.2%
Distinct7
Distinct (%)15.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8913043478
Minimum0
Maximum6
Zeros29
Zeros (%)63.0%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:12:00.199179image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4
Maximum6
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.494110822
Coefficient of variation (CV)1.676319459
Kurtosis2.99709006
Mean0.8913043478
Median Absolute Deviation (MAD)0
Skewness1.865442024
Sum41
Variance2.23236715
MonotonicityNot monotonic
2023-09-16T08:12:00.366464image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 29
63.0%
1 6
 
13.0%
2 5
 
10.9%
3 2
 
4.3%
4 2
 
4.3%
6 1
 
2.2%
5 1
 
2.2%
ValueCountFrequency (%)
0 29
63.0%
1 6
 
13.0%
2 5
 
10.9%
3 2
 
4.3%
4 2
 
4.3%
ValueCountFrequency (%)
6 1
 
2.2%
5 1
 
2.2%
4 2
 
4.3%
3 2
 
4.3%
2 5
10.9%

QT_MOB_ACADEMICA
Real number (ℝ)

Distinct3
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2391304348
Minimum0
Maximum6
Zeros44
Zeros (%)95.7%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:12:00.555900image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.138903617
Coefficient of variation (CV)4.762687854
Kurtosis21.16881496
Mean0.2391304348
Median Absolute Deviation (MAD)0
Skewness4.694311823
Sum11
Variance1.297101449
MonotonicityNot monotonic
2023-09-16T08:12:00.714733image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 44
95.7%
5 1
 
2.2%
6 1
 
2.2%
ValueCountFrequency (%)
0 44
95.7%
5 1
 
2.2%
6 1
 
2.2%
ValueCountFrequency (%)
6 1
 
2.2%
5 1
 
2.2%
0 44
95.7%

QT_ING_MOB_ACADEMICA
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros46
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:12:00.889145image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-09-16T08:12:01.054157image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%

QT_MAT_MOB_ACADEMICA
Real number (ℝ)

Distinct3
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2391304348
Minimum0
Maximum6
Zeros44
Zeros (%)95.7%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:12:01.219823image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.138903617
Coefficient of variation (CV)4.762687854
Kurtosis21.16881496
Mean0.2391304348
Median Absolute Deviation (MAD)0
Skewness4.694311823
Sum11
Variance1.297101449
MonotonicityNot monotonic
2023-09-16T08:12:01.397586image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 44
95.7%
5 1
 
2.2%
6 1
 
2.2%
ValueCountFrequency (%)
0 44
95.7%
5 1
 
2.2%
6 1
 
2.2%
ValueCountFrequency (%)
6 1
 
2.2%
5 1
 
2.2%
0 44
95.7%

QT_CONC_MOB_ACADEMICA
Real number (ℝ)

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02173913043
Minimum0
Maximum1
Zeros45
Zeros (%)97.8%
Negative0
Negative (%)0.0%
Memory size496.0 B
2023-09-16T08:12:01.586505image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1474419562
Coefficient of variation (CV)6.782329983
Kurtosis46
Mean0.02173913043
Median Absolute Deviation (MAD)0
Skewness6.782329983
Sum1
Variance0.02173913043
MonotonicityNot monotonic
2023-09-16T08:12:01.765235image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 45
97.8%
1 1
 
2.2%
ValueCountFrequency (%)
0 45
97.8%
1 1
 
2.2%
ValueCountFrequency (%)
1 1
 
2.2%
0 45
97.8%